Netflix, Inc.

United States of America

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        Patent 548
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Jurisdiction
        United States 370
        World 146
        Canada 79
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Date
New (last 4 weeks) 11
2021 January (MTD) 3
2020 December 16
2020 November 5
2020 October 2
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IPC Class
H04L 29/06 - Communication control; Communication processing characterised by a protocol 112
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure 69
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs 49
G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs 46
H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements 46
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NICE Class
41 - Education; entertainment 27
38 - Telecommunications 26
09 - Scientific and electric apparatus and instruments 24
28 - Games; toys; sports equipment 9
35 - Advertising; business 9
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Status
Pending 136
Registered / In Force 476
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1.

ATTACK MITIGATION IN A PACKET-SWITCHED NETWORK

      
Application Number 16576556
Status Pending
Filing Date 2019-09-19
First Publication Date 2021-01-07
Owner Netflix, Inc. (USA)
Inventor Stewart, Randall

Abstract

The disclosed computer-implemented method includes applying transport protocol heuristics to selective acknowledgement (SACK) messages received at a network adapter from a network node. The transport protocol heuristics identify threshold values for operational functions that are performed when processing the SACK messages. The method further includes determining, by applying the transport protocol heuristics to the SACK messages received from the network node, that the threshold values for the transport protocol heuristics have been reached. In response to determining that the threshold values have been reached, the method includes identifying the network node as a security threat and taking remedial actions to mitigate the security threat. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol

2.

DYNAMIC TRANSACTION COALESCING

      
Application Number 16918488
Status Pending
Filing Date 2020-07-01
First Publication Date 2021-01-07
Owner Netflix, Inc. (USA)
Inventor
  • Dhillon, Sargun
  • Correia Kung, Fabio

Abstract

The disclosed computer-implemented method includes establishing a coalescing service configured to combine queries received at the coalescing service. The method further includes instantiating, within the coalescing service, multiple execution windows to which the received queries are to be assigned, where each execution window has an assigned deadline within which to execute. The method also includes analyzing a first query among the received queries to identify characteristics of the first query. The method then includes assigning the first query to a first execution window among the execution windows according to the identified characteristics. Then, upon detecting the occurrence of a specified trigger for at least one of the queries in the first execution window, the method includes executing those queries, including the first query, that are assigned to the first execution window. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

3.

ATTACK MITIGATION IN A PACKET-SWITCHED NETWORK

      
Application Number US2020040578
Publication Number 2021/003318
Status In Force
Filing Date 2020-07-01
Publication Date 2021-01-07
Owner NETFLIX, INC. (USA)
Inventor Stewart, Randall

Abstract

The disclosed computer-implemented method includes applying transport protocol heuristics to selective acknowledgement (SACK) messages received at a network adapter from a network node. The transport protocol heuristics identify threshold values for operational functions that are performed when processing the SACK messages. The method further includes determining, by applying the transport protocol heuristics to the SACK messages received from the network node, that the threshold values for the transport protocol heuristics have been reached. In response to determining that the threshold values have been reached, the method includes identifying the network node as a security threat and taking remedial actions to mitigate the security threat. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 1/16 - Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals

4.

AUTOMATED VIDEO CROPPING USING RELATIVE IMPORTANCE OF IDENTIFIED OBJECTS

      
Application Number US2020038174
Publication Number 2020/263655
Status In Force
Filing Date 2020-06-17
Publication Date 2020-12-30
Owner NETFLIX, INC. (USA)
Inventor
  • Kansara, Apurvakumar Dilipkumar
  • Holsapple, Sanford
  • Westadt, Arica
  • Bisla, Kunal

Abstract

The disclosed computer-implemented method may include receiving, as an input, segmented video scenes, where each video scene includes a specified length of video content. The method may further include scanning the video scenes to identify objects within the video scene and also determining a relative importance value for the identified objects. The relative importance value may include an indication of which objects are to be included in a cropped version of the video scene. The method may also include generating a video crop that is to be applied to the video scene such that the resulting cropped version of the video scene includes those identified objects that are to be included based on the relative importance value. The method may also include applying the generated video crop to the video scene to produce the cropped version of the video scene. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 5/45 - Picture in picture
  • G11B 27/02 - Editing, e.g. varying the order of information signals recorded on, or reproduced from, record carriers
  • H04N 1/387 - Composing, repositioning or otherwise modifying originals
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/4728 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for selecting a ROI [Region Of Interest], e.g. for requesting a higher resolution version of a selected region

5.

Online computer system with methodologies for distributed trace aggregation and for targeted distributed tracing

      
Application Number 14497735
Grant Number 10880191
Status In Force
Filing Date 2014-09-26
First Publication Date 2020-12-29
Grant Date 2020-12-29
Owner NETFLIX, INC. (USA)
Inventor
  • Kant, Nitesh
  • Yuan, Danny
  • Tonse, Sudhir

Abstract

An online distributed computer system with methodologies for distributed trace aggregation and targeting distributed tracing. In one aspect, the disclosed distributed tracing technologies improve on existing distributed tracing technologies by providing to application developers and site operations personnel a more holistic and comprehensive insight into the behavior of the online distributed computer system in the form of computed span metric aggregates displayed in a graphical user interface thereby making it easier for such personnel to diagnose problems in the system and to support and maintain the system. In another aspect, the disclosed distributed tracing technologies improve on existing distributed tracing technologies by facilitating targeted tracing of initiator requests.

IPC Classes  ?

  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • G06F 16/951 - Indexing; Web crawling techniques

6.

TECHNIQUES FOR ADVANCING PLAYBACK OF INTERACTIVE MEDIA TITLES IN RESPONSE TO USER SELECTIONS

      
Application Number 17008429
Status Pending
Filing Date 2020-08-31
First Publication Date 2020-12-24
Owner NETFLIX, INC. (USA)
Inventor Watson, Mark

Abstract

A playback application seamlessly advances playback of and interactive media title in response to user selections in a manner that minimizes latency and preserves user immersion in a narrative. The playback application buffers an interstitial segment included in the interactive media title and feeds portions of the interstitial segment to a media player only when those portions are needed for display. When the user selects an option displayed during the interstitial segment, the playback application begins buffering a subsequent media segment and stops feeding portions of the interstitial segment to the media player. The playback application starts feeding blocks of the subsequent media segment to the media player and then seamlessly advances playback to the subsequent media segment.

IPC Classes  ?

  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/6587 - Control parameters, e.g. trick play commands or viewpoint selection
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 21/8545 - Content authoring for generating interactive applications

7.

DISTRIBUTED GLOBAL OBJECT STORAGE

      
Application Number US2020037818
Publication Number 2020/257129
Status In Force
Filing Date 2020-06-15
Publication Date 2020-12-24
Owner NETFLIX, INC. (USA)
Inventor
  • Kasi, Kishore
  • Papapanagiotou, Ioannis
  • Madappa, Shashi Shekar
  • Enugula, Sridhar
  • Jayaraman, Deva
  • Yelevich, Victor
  • Chen, Shunfei
  • Ginter, Christopher
  • Johansson, Olof
  • Birari, Shailesh

Abstract

Various embodiments of the present application set forth a computer-implemented method for accessing data comprising receiving, by a first storage controller at a first spoke network and from an entity remote to the first spoke network, a message identifying a first content item, where the first content item is identified based on a task that is to be performed by accessing the first content item, determining, by the first storage controller, a first storage partition that stores the first content item, where the first storage partition is included in a tiered group of storage partitions accessible by the first spoke network, retrieving, by the first storage controller from the first storage partition, the first content item, and causing, by the first storage controller, the first content item to be transmitted to a second spoke network for storage in a second storage partition accessible by the second spoke network.

IPC Classes  ?

8.

MACHINE-ASSISTED TRANSLATION FOR SUBTITLE LOCALIZATION

      
Application Number 16442403
Status Pending
Filing Date 2019-06-14
First Publication Date 2020-12-17
Owner NETFLIX, Inc. (USA)
Inventor
  • Bihani, Ballav
  • Rickard, Matthew James
  • Semeniakin, Marianna
  • Shetty, Ranjith Kumar
  • Smith, Allison Filemyr
  • Pearson, Patrick Brendon

Abstract

One embodiment of the present disclosure sets forth a technique for generating translation suggestions. The technique includes receiving a sequence of source-language subtitle events associated with a content item, where each source-language subtitle event includes a different textual string representing a corresponding portion of the content item, generating a unit of translatable text based on a textual string included in at least one source-language subtitle event from the sequence, translating, via software executing on a machine, the unit of translatable text into target-language text, generating, based on the target-language text, at least one target-language subtitle event associated with a portion of the content item corresponding to the at least one source-language subtitle event, and generating, for display, a subtitle presentation template that includes the at least one target-language subtitle event.

IPC Classes  ?

  • G06F 17/28 - Processing or translating of natural language

9.

DISTRIBUTED GLOBAL OBJECT STORAGE

      
Application Number 16820536
Status Pending
Filing Date 2020-03-16
First Publication Date 2020-12-17
Owner NETFLIX, INC. (USA)
Inventor
  • Kasi, Kishore
  • Papapanagiotou, Ioannis
  • Madappa, Shashi Shekar
  • Enugula, Sridhar
  • Jayaraman, Deva
  • Yelevich, Victor
  • Chen, Shunfei
  • Ginter, Christopher
  • Johansson, Olof
  • Birari, Shailesh

Abstract

Various embodiments of the present application set forth a computer-implemented method for accessing data comprising receiving, by a first storage controller at a first spoke network and from an entity remote to the first spoke network, a message identifying a first content item, where the first content item is identified based on a task that is to be performed by accessing the first content item, determining, by the first storage controller, a first storage partition that stores the first content item, where the first storage partition is included in a tiered group of storage partitions accessible by the first spoke network, retrieving, by the first storage controller from the first storage partition, the first content item, and causing, by the first storage controller, the first content item to be transmitted to a second spoke network for storage in a second storage partition accessible by the second spoke network.

IPC Classes  ?

  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

10.

MACHINE-ASSISTED TRANSLATION FOR SUBTITLE LOCALIZATION

      
Application Number US2020037263
Publication Number 2020/252182
Status In Force
Filing Date 2020-06-11
Publication Date 2020-12-17
Owner NETFLIX, INC. (USA)
Inventor
  • Bihani, Ballav
  • Rickard, Matthew James
  • Semeniakin, Marianna
  • Shetty, Ranjith Kumar
  • Smith, Allison Filemyr
  • Pearson, Patrick Brendon
  • Shah, Sameer

Abstract

One embodiment of the present disclosure sets forth a technique for generating translation suggestions. The technique includes receiving a sequence of source-language subtitle events associated with a content item, where each source-language subtitle event includes a different textual string representing a corresponding portion of the content item, generating a unit of translatable text based on a textual string included in at least one source-language subtitle event from the sequence, translating, via software executing on a machine, the unit of translatable text into target-language text, generating, based on the target-language text, at least one target-language subtitle event associated with a portion of the content item corresponding to the at least one source-language subtitle event, and generating, for display, a subtitle presentation template that includes the at least one target-language subtitle event.

IPC Classes  ?

  • G06F 40/47 - Machine-assisted translation, e.g. using translation memory
  • G06F 40/45 - Example-based machine translation; Alignment

11.

N

      
Serial Number 90380341
Status Pending
Filing Date 2020-12-14
Owner Netflix, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 16 - Paper, cardboard and goods made from these materials
  • 18 - Leather and imitations of leather
  • 20 - Furniture and decorative products
  • 21 - HouseHold or kitchen utensils, containers and materials; glassware; porcelain; earthenware
  • 25 - Clothing; footwear; headgear
  • 28 - Games; toys; sports equipment

Goods & Services

Software for streaming audiovisual and multimedia content via the internet and global communications networks; software for streaming audiovisual and multimedia content to mobile digital electronic devices; software for searching, organizing, and recommending multimedia content; software development tools for creating software and mobile applications; computer software for creating and providing user access to searchable databases of information and data; computer software for wireless content delivery; computer software for purchasing, accessing, and viewing movies, TV shows, videos, and multimedia content; computer software featuring learning activities; mobile applications for accessing and streaming audiovisual and multimedia content via the internet and global communications networks; video game software; computer game software; downloadable computer games; interactive video game programs; computer game cartridges and discs; downloadable computer game software for use with mobile telephones, tablets and personal computers; electronic game programs; electronic game software for mobile telephones, tablets, personal computers, and handheld electronic devices; virtual reality and augmented reality game software and hardware; downloadable graphics featuring emoji sets for use on computers, tablets, and mobile phones; downloadable ringtones and sound recordings featuring music, all for wireless communications devices; CDs and DVDs featuring fiction and non-fiction stories on a variety of topics, music, dramatic performances, non-dramatic performances, learning activities for children, and games; downloadable motion pictures and television shows featuring fiction and non-fiction stories on a variety of topics provided via a video-on-demand service; downloadable entertainment software for use with mobile devices downloaded via the internet and wireless devices; downloadable motion pictures and television shows in the fields of action adventure, animation, anime, biography, classics, comedy, crime, documentary, drama, faith, family, fantasy, film-noir, history, horror, international, musical, mystery, romance, science fiction, sports, thrillers, war, and westerns; audiobooks featuring fiction and non-fiction stories on a variety of topics; audio and visual recordings featuring music, stories, dramatic performances, non-dramatic performances, live-action entertainment, animated entertainment, learning activities for children, and games; musical recordings; apparatus for recording, transmission or reproduction of sound and images; downloadable audio and video recordings featuring music, music performances, and music videos; downloadable podcasts in the field of entertainment; magnetically encoded gift cards; downloadable electronic newsletters in the field of entertainment; digital media streaming devices; digital video recorders; DVD and high definition video disc players; home theater systems comprised of audio and video receivers; disc players; televisions; television set-top boxes; computer hardware and peripheral devices; mouse pads; wrist and arm rests for use with computers; stands for handheld digital electronic devices; calculators; cameras; digital cameras; radios; blank USB flash drives; audio speakers; accessories for mobile phones, laptops, tablets, digital cameras, digital music players, smartwatches, personal digital assistants, and electronic book readers, namely, protective sleeves, covers, cases, faceplates, skins, straps, and protective display screen covers; headphones; earphones; walkie-talkies; mobile phones; smart watches; eyewear accessories, namely, straps, neck cords, and head straps which restrain eyewear from movement on a wearer; eyeglasses; sunglasses; eyeglass and sunglass cases; binoculars; decorative magnets; graduated rulers; magnifying glasses; microphones; sports helmets; bicycle helmets Calendars; greeting cards; posters; paper; stationery; blank journal books; folders; envelopes; postcards; stickers; bumper stickers; decals; advent calendars; art prints; framed art pictures; crayons; markers; pencils; pencil erasers; pencil sharpeners; chalk; color pencils; pens; ballpoint pens; felt pens; pen and pencil cases and boxes; gift wrapping paper; gift bags; paper party decorations; paper cake decorations; decorative paper centerpieces; printed invitations; glitter for stationery purposes; collectible trading cards; temporary tattoo transfers; paper napkins; handkerchiefs and table linen of paper; party goodie bags of paper or plastic; plastic shopping bags; dry erase writing boards and writing surfaces; packaging boxes of paper; notebooks; notepads; composition books; appointment books; craft paper; folders for paper; paper mache figurines; paperweights; paper lunch bags; flash cards; bookmarks; bookends; money clips; paper clips; passport holders; loose leaf binders; diaries; daily planners; scrapbook albums; sticker books; photograph albums; rubber stamps; drawing rulers; easels; modeling clay; painting sets for children; arts and crafts paint kits; arts and crafts clay kits; arts and crafts paper kits; stencils; children's activity books; baby books; coloring books; series of fiction books; books featuring stories, games, and activities for children; novels; graphic novels; comic books; children's interactive educational books and magazines; coffee table books related to television series; books and magazines featuring characters from animated, action adventure, comedy and/or drama motion pictures and television shows; printed patterns for making clothes; non-magnetically encoded gift cards; holders for non-magnetically encoded gift cards; gift boxes containing note cards; decals and stickers for use as home décor All-purpose carrying bags; all-purpose sport bags; animal collars; animal leashes; athletic bags; baby backpacks; baby carriers worn on the body; backpacks; beach bags; book bags; briefcases; business card cases; coin purses; diaper bags; duffel bags; fanny packs; handbags; key cases; knapsacks; leather cases; leather pouches; luggage; luggage tags; messenger bags; overnight bags; pet clothing; pocketbooks; purses; satchels; shopping bags made of leather, mesh or textile; toiletry cases sold empty; tote bags; traveling bags; umbrellas; waist packs; wallets Cushions; figurines and statuettes made of plaster, plastic, wax, resin, and wood; furniture; gift package decorations made of plastic; hand fans; mattresses; mirrors; party ornaments of plastic; picture frames; pillows; plastic cake decorations; plastic name badges; plastic novelty license plates; plastic tissue box covers; wind chimes; interior window blinds; goods of plastic, namely, decorative mobiles and key fobs in the nature of plastic keychain tags; non-metal dog tags; ornaments made of plaster, plastic, wax or wood not including Christmas tree ornaments; key caps, namely, plastic or rubber caps used to cover the tops of keys; mirrors; mirrors being furniture; fitted fabric furniture covers; inflatable figures for use as outdoor holiday decorations; plush figures for use as outdoor holiday decorations; towel racks; bumper guards for cribs, other than bed linen Bakeware; beverage glassware; beverageware; mason jars; bottle openers; bowls; cake molds; cake pans; candle holders not of precious metal; candle snuffers; canteens; coasters not of paper or textile; coffee cups; cork screws; containers for household use; cookie cutters; cookie jars; cups; cutting boards; decorating bags for confectioners; decorative glass not for building; decorative plates; dinnerware; dishes; drinking cups for babies and children; drinking flasks; drinking straws; drinking vessels; figurines or busts made of china, ceramic, crystal, earthenware, glass, or porcelain; hair brushes; hair combs; heat-insulated vessels; lunch boxes; lunch kits consisting of lunch boxes and insulated containers for food and beverages; menorahs; mugs; napkin holders; napkin rings not of precious metals; non-electric portable coolers; non-metallic trays for domestic purposes; oven mitts; paper plates; pie pans; piggy banks; plastic dishes; plates; removable insulators for drink cans and bottles, namely, insulating sleeve holders for beverage cans and bottles; salt and pepper shakers; serving trays; servingware for serving food; soap dishes; sports bottles sold empty; tea kettles; tea sets; thermal insulated containers for food or beverage; toothbrushes; trivets; vacuum bottles; vases; waste baskets; wine openers; towel rails and rings Clothing, namely, aprons, bathrobes, beachwear, belts, blouses, bottoms, cloth bibs, coats, cover-ups, dresses, gloves, gowns, hoodies, hosiery, infant wear, jackets, jerseys, joggers, jogging suits, leggings, loungewear, mittens, pajamas, parkas, pants, ponchos, pullovers, rainwear, rash guards, scarves, shirts, skorts, shorts, skirts, sleepwear, snow suits, socks, suspenders, sweaters, sweatpants, sweatshirts, swimwear, t-shirts, ties, tops, underwear, vests; zip-up hoodies; headwear, namely, beanies, caps, earmuffs, hats, headbands, skullies, and visors; footwear; costumes for use in children's dress-up play; costume accessories, namely, novelty headwear with integrated wigs; Halloween and masquerade costumes; cosplay costumes Action figures; action skill games; amusement game machines; amusement park rides; balloons; balls, namely, balls for sports, play balls, rubber balls, and inflatable balls; board games; bobblehead dolls; bubble-making wand and solution sets; card games; Christmas stockings; Christmas tree decorations; Christmas tree ornaments; costume masks; dart games; doll accessories; dolls; doll clothing; doll houses; drawing toys; elbow and knee pads for athletic use; exercise equipment, namely, exercise bands, balls, and weights; flying discs; hand held units for playing electronic games; inflatable toys; in-line skates; jump ropes; kites; lottery tickets; marbles for games; memory games; musical toys; non-motorized toy scooters; party favors in the nature of small toys and toy noisemakers; party games; paper party favors; paper party hats; pet toys; pinball machines and pinball-type games; playing cards; playsets for action figures; plastic toy figurines; plush toys; puzzles; role-playing games; roller skates; sand toys; sit-in and ride-on toy vehicles; skateboards; slot machines; snow globes; spinning tops; swim floats for recreational use; toy bakeware and toy cookware; toy construction sets; target games; toy building blocks; toy candy dispensers; toy drones; toy figures; toy scale model kits; toy vehicles; toy putty; spinning fidget toys; toys, namely, children's dress-up accessories; trading card games; trading cards for games; video game consoles for use with an external display screen or monitor; video game machines; video game interactive remote control units; water toys; yo-yos

12.

N

      
Application Number 207043600
Status Pending
Filing Date 2020-12-11
Owner Netflix, Inc. (USA)
NICE Classes  ?
  • 06 - Common metals and their alloys; ores
  • 09 - Scientific and electric apparatus and instruments
  • 16 - Paper, cardboard and goods made from these materials
  • 18 - Leather and imitations of leather
  • 20 - Furniture and decorative products
  • 21 - HouseHold or kitchen utensils, containers and materials; glassware; porcelain; earthenware
  • 24 - Textiles and textile goods
  • 25 - Clothing; footwear; headgear
  • 28 - Games; toys; sports equipment

Goods & Services

(1) Software for streaming audiovisual and multimedia content via the internet and global communications networks; software for streaming audiovisual and multimedia content to mobile digital electronic devices; software for searching, organizing, and recommending multimedia content; software development tools for creating software and mobile applications; computer software; computer programs; downloadable computer software applications; downloadable mobile applications; video game software; computer game software; interactive video game programs; computer game cartridges and discs; electronic game programs and software; electronic game software for mobile telephones, tablets, personal computers, and handheld electronic devices; virtual reality and augmented reality game hardware and software; downloadable motion pictures and television shows provided via a video-on-demand service; downloadable graphics featuring sets of digital images and icons for use on computers, tablets, and mobile phones; CDs and DVDs; downloadable motion pictures and television shows; audiobooks; downloadable ringtones and sound recordings; audio and visual recordings; musical recordings; apparatus for recording, transmission or reproduction of sound or images; downloadable audio and video recordings featuring music, music performances, and music videos; downloadable podcasts; encoded electronic chip cards; magnetically encoded gift cards; electronic publications; remote controls; digital media streaming devices; digital video recorders; DVD and high definition video disc players; home theater systems comprised of audio and video receivers; disc players; televisions; television set-top boxes; computer hardware and peripheral devices; mouse pads; wrist and arm rests for use with computers; stands adapted for mobile phones, tablet computers; calculators; cameras; digital cameras; radios; USB flash drives; audio speakers; cell phone straps; cell phone cases; cell phone covers; keyboards for tablets; covers for tablet computers; cases for tablet computers; flip covers for tablet computers; protective covers and cases for electronic devices namely, computers, tablet computers, mobile phones, digital cameras, digital media players, electronic book readers, video game consoles, and personal digital assistants; protective display screen covers; adapters; headphones; earphones; walkie-talkies; mobile phones; smart watches; eyeglasses; sunglasses; eyeglass and sunglass cases; binoculars; decorative magnets; graduated rulers; magnifying glasses; microphones; sports helmets; bicycle helmets (2) Printed publications; printed matter; pamphlets, newspapers, magazines, books, brochures, advertising pamphlets; office supplies; school supplies (stationery); stationery and educational supplies; blank journal books; folders; paper teaching materials; calendars; advent calendars; greeting cards; posters; paper; stationery; envelopes; postcards; stickers; bumper stickers; decals; art prints; art pictures; crayons; highlighting markers; marker pens; pencils; pencil erasers; pencil sharpeners; chalk; color pencils; pens; ballpoint pens; felt pens; pen and pencil cases and boxes; gift wrapping paper; gift bags; paper party decorations; paper cake decorations; decorative paper centerpieces; printed invitations; glitter for stationery purposes; trading cards; temporary tattoo transfers; paper napkins; handkerchiefs and table linen of paper; party goodie bags of paper or plastic; plastic shopping bags; dry erase writing boards; packaging boxes of paper; notebooks; notepads; composition books; appointment books; craft paper; folders for paper; paper mache figurines; paperweights; paper lunch bags; flash cards; bookmarks; bookends; money clips; paper clips; passport holders; loose leaf binders; diaries; daily planners; scrapbook albums; sticker books; photograph albums; rubber stamps; drawing rulers; easels; modeling clay; painting sets for children; paint boxes; stencils; children's activity books; baby books; coloring books; series of fiction books; story books; books in the fields of games and gaming; activity books; graphic novels; comic books; books and magazines featuring characters from animated, action adventure, comedy and/or drama motion pictures and television shows; children's interactive educational books and magazines; coffee table books; printed patterns for making clothes; gift cards; gift boxes; decals and stickers for use as home décor (3) All-purpose carrying bags; all-purpose sport bags; animal collars; animal leashes; athletic bags; baby backpacks; baby carriers worn on the body; backpacks; beach bags; book bags; briefcases; business card cases; coin purses; diaper bags; duffel bags; fanny packs; handbags; key cases; knapsacks; leather cases; leather pouches; luggage; luggage tags; messenger bags; overnight bags; pet clothing; pocketbooks; purses; satchels; shopping bags made of leather, mesh or textile; toiletry cases sold empty; tote bags; traveling bags; umbrellas; waist packs; wallets (4) Cushions; figurines and statuettes made of plaster, plastic, wax, resin, and wood; furniture; gift package decorations made of plastic; hand fans; mattresses; mirrors; party ornaments of plastic; picture frames; pillows; plastic cake decorations; plastic name badges; plastic novelty license plates; plastic tissue box covers; wind chimes; interior window blinds; goods of plastic, namely, decorative mobiles and key fobs in the nature of plastic keychain tags; ornaments made of plaster, plastic, wax or wood not including Christmas tree ornaments; key caps, namely, plastic or rubber caps used to cover the tops of keys; furniture mirrors; fitted fabric furniture covers; crib bumpers; inflatable figures for use as outdoor holiday decorations; plush figures for use as outdoor holiday decorations; dog tags; towel racks (5) Kitchen utensils; beverage glassware; glassware for household purposes; bakeware; beverageware; mason jars; bottle openers; bowls; cake molds; cake pans; candle holders not of precious metal; candle snuffers; coasters not of paper or textile; coffee cups; cork screws; containers for household use; cookie cutters; cookie jars; cups; cutting boards; decorating bags for confectioners; decorative glass not for building; decorative plates; dinnerware; dishes; drinking cups; drinking flasks; drinking straws; drinking vessels; figurines or busts made of china, ceramic, crystal, earthenware, glass, or porcelain; hair brushes; hair combs; heat-insulated vessels; lunch boxes; insulated containers for beverage cans, for domestic use; menorahs; mugs; napkin holders; napkin rings not of precious metals; non-electric portable coolers; non-metallic trays for domestic purposes; oven mitts; paper plates; pie pans; piggy banks; plastic dishes; plates; removable insulators for drink cans and bottles, namely, insulating sleeve holders for beverage cans and bottles; salt and pepper shakers; serving trays; servingware for serving food; soap dishes; sports bottles sold empty; tea kettles (non-electric); tea sets; thermal insulated containers for food or beverage; toothbrushes; trivets; vacuum bottles; vases; waste baskets; wine openers; towel rails and rings (6) Clothing, footwear, headgear; clothing, including, aprons, bathrobes, beachwear, beanies, belts, blouses, bottoms, cloth bibs, coats, dresses, gloves, gowns, hooded sweatshirts, hosiery, infant wear, jackets, jogging suits, leggings (trousers), loungewear, mittens, pajamas, pants, ponchos, raincoats, rainwear, scarves, shirts, shorts, skirts, sleepwear, snow suits, suspenders, sweaters, sweatpants, sweatshirts, swimsuits, swimwear, t-shirts, ties, tops, underwear, vests; headwear, namely, caps, earmuffs, hats, skull caps, and visors; footwear, namely, shoes, boots, slippers, and socks; costumes for use in children's dress-up play; costume accessories, including, novelty headwear with integrated wigs; Halloween and masquerade costumes; cosplay costumes (7) Toys; games; playthings; video game apparatus; gymnastic and sporting articles; action figures; action skill games; amusement game machines; amusement park rides; balloons; balls, namely, balls for sports, play balls, rubber balls, and inflatable balls; board games; bobblehead dolls; bubble-making wand and solution sets; card games; Christmas tree decorations; Christmas tree ornaments; Christmas stockings; children's dress-up accessories in the nature of toys; costume masks; dart games; doll accessories; dolls; doll houses; elbow and knee pads for athletic use; flying discs; hand held units for playing electronic games; inflatable toys; in-line skates; jump ropes; kites; lottery tickets; marbles for games; memory games; musical toys; toy scooters; non-motorized toy scooters; party favors in the nature of small toys and toy noisemakers; party games; paper party favors; paper party hats; pet toys; pinball machines and pinball-type games; playing cards; trading card games; trading cards for games; playsets for action figures; plastic toy figurines; plush toys; puzzles; role-playing games; roller skates; sand toys; sit-in and ride-on toy vehicles; skateboards; slot machines (gaming machines); snow globes; spinning tops; swim floats for recreational use; toy bakeware and toy cookware; toy construction sets; target games; toy building blocks; toy candy dispensers; drones (toys); toy figures; toy scale model kits; toy vehicles; toys namely dolls' clothing accessories; video game consoles for use with an external display screen or monitor; video game machines; video game interactive remote control units; water toys; yo-yos; toy drones; toy putty; spinning fidget toys; exercise equipment, namely, exercise bands, balls, and weights

13.

TECHNIQUES FOR TEXT RENDERING USING FONT PATCHING

      
Application Number US2020035779
Publication Number 2020/247406
Status In Force
Filing Date 2020-06-02
Publication Date 2020-12-10
Owner NETFLIX, INC. (USA)
Inventor Navarro, Pedro

Abstract

Various embodiments disclose a computer-implemented method that includes receiving, subsequent to a first font file being stored in read-only memory, a first font patch file for storage in read-write memory, where each of the first font file and the first font patch file is associated with a first font and includes a different set of glyphs used to render characters for display, and a first set of glyphs included in the first font file is static, determining that a first text string includes a first set of characters to be rendered, retrieving, from at least one of the first font file and the first font patch file depending on whether a first glyph is included in the first set of glyphs, the first glyph corresponding to a first character included in the first set of characters, and rendering a portion of the first text string using the first glyph.

IPC Classes  ?

  • G06F 40/109 - Font handling; Temporal or kinetic typography
  • G06F 7/00 - Methods or arrangements for processing data by operating upon the order or content of the data handled
  • G06F 40/126 - Character encoding
  • G06K 15/02 - Arrangements for producing a permanent visual presentation of the output data using printers
  • G06T 11/00 - 2D [Two Dimensional] image generation
  • H04N 5/00 - PICTORIAL COMMUNICATION, e.g. TELEVISION - Details of television systems

14.

N

      
Application Number 018352609
Status Pending
Filing Date 2020-12-10
Owner Netflix, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 16 - Paper, cardboard and goods made from these materials
  • 18 - Leather and imitations of leather
  • 20 - Furniture and decorative products
  • 21 - HouseHold or kitchen utensils, containers and materials; glassware; porcelain; earthenware
  • 25 - Clothing; footwear; headgear
  • 28 - Games; toys; sports equipment

Goods & Services

Software for streaming audiovisual and multimedia content via the internet and global communications networks; software for streaming audiovisual and multimedia content to mobile digital electronic devices; software for searching, organizing, and recommending multimedia content; software development tools for creating software and mobile applications; computer software; computer programs; downloadable computer software applications; downloadable mobile applications; video game software; computer game software; interactive video game programs; computer game cartridges and discs; electronic game programs and software; electronic game software for mobile telephones, tablets, personal computers, and handheld electronic devices; virtual reality and augmented reality game hardware and software; downloadable motion pictures and television shows provided via a video-on-demand service; downloadable graphics featuring sets of digital images and icons for use on computers, tablets, and mobile phones; CDs and DVDs; downloadable motion pictures and television shows; audiobooks; downloadable ringtones and sound recordings; audio and visual recordings; musical recordings; apparatus for recording, transmission or reproduction of sound or images; downloadable audio and video recordings featuring music, music performances, and music videos; downloadable podcasts; encoded electronic chip cards; magnetically encoded gift cards; electronic publications; remote controls; digital media streaming devices; digital video recorders; DVD and high definition video disc players; home theater systems comprised of audio and video receivers; disc players; televisions; television set-top boxes; computer hardware and peripheral devices; mouse pads; wrist and arm rests for use with computers; stands adapted for mobile phones, tablet computers; calculators; cameras; digital cameras; radios; USB flash drives; audio speakers; cell phone straps; cell phone cases; cell phone covers; keyboards for tablets; covers for tablet computers; cases for tablet computers; flip covers for tablet computers; protective covers and cases for electronic devices namely, computers, tablet computers, mobile phones, digital cameras, digital media players, electronic book readers, video game consoles, and personal digital assistants; protective display screen covers; adapters; headphones; earphones; walkie-talkies; mobile phones; smart watches; eyeglasses; sunglasses; eyeglass and sunglass cases; binoculars; decorative magnets; graduated rulers; magnifying glasses; microphones; sports helmets; bicycle helmets. Printed publications; printed matter; pamphlets, newspapers, magazines, books, brochures, advertising pamphlets; office supplies; school supplies (stationery); stationery and educational supplies; blank journal books; folders; paper teaching materials; calendars; advent calendars; greeting cards; posters; paper; stationery; envelopes; postcards; stickers; bumper stickers; decals; art prints; art pictures; crayons; highlighting markers; marker pens; pencils; pencil erasers; pencil sharpeners; chalk; color pencils; pens; ballpoint pens; felt pens; pen and pencil cases and boxes; gift wrapping paper; gift bags; paper party decorations; paper cake decorations; decorative paper centerpieces; printed invitations; glitter for stationery purposes; trading cards; temporary tattoo transfers; paper napkins; handkerchiefs and table linen of paper; party goodie bags of paper or plastic; plastic shopping bags; dry erase writing boards; packaging boxes of paper; notebooks; notepads; composition books; appointment books; craft paper; folders for paper; paper mache figurines; paperweights; paper lunch bags; flash cards; bookmarks; bookends; money clips; paper clips; passport holders; loose leaf binders; diaries; daily planners; scrapbook albums; sticker books; photograph albums; rubber stamps; drawing rulers; easels; modeling clay; painting sets for children; paint boxes; stencils; children's activity books; baby books; coloring books; series of fiction books; story books; books in the fields of games and gaming; activity books; graphic novels; comic books; books and magazines featuring characters from animated, action adventure, comedy and/or drama motion pictures and television shows; children's interactive educational books and magazines; coffee table books; printed patterns for making clothes; gift cards; gift boxes; decals and stickers for use as home décor. All-purpose carrying bags; all-purpose sport bags; animal collars; animal leashes; athletic bags; baby backpacks; baby carriers worn on the body; backpacks; beach bags; book bags; briefcases; business card cases; coin purses; diaper bags; duffel bags; fanny packs; handbags; key cases; knapsacks; leather cases; leather pouches; luggage; luggage tags; messenger bags; overnight bags; pet clothing; pocketbooks; purses; satchels; shopping bags made of leather, mesh or textile; toiletry cases sold empty; tote bags; traveling bags; umbrellas; waist packs; wallets. Cushions; figurines and statuettes made of plaster, plastic, wax, resin, and wood; furniture; gift package decorations made of plastic; hand fans; mattresses; mirrors; party ornaments of plastic; picture frames; pillows; plastic cake decorations; plastic name badges; plastic novelty license plates; plastic tissue box covers; wind chimes; interior window blinds; goods of plastic, namely, decorative mobiles and key fobs in the nature of plastic keychain tags; ornaments made of plaster, plastic, wax or wood not including Christmas tree ornaments; key caps, namely, plastic or rubber caps used to cover the tops of keys; furniture mirrors; fitted fabric furniture covers; crib bumpers; inflatable figures for use as outdoor holiday decorations; plush figures for use as outdoor holiday decorations; dog tags; towel racks. Kitchen utensils; beverage glassware; glassware for household purposes; bakeware; beverageware; mason jars; bottle openers; bowls; cake molds; cake pans; candle holders not of precious metal; candle snuffers; coasters not of paper or textile; coffee cups; cork screws; containers for household use; cookie cutters; cookie jars; cups; cutting boards; decorating bags for confectioners; decorative glass not for building; decorative plates; dinnerware; dishes; drinking cups; drinking flasks; drinking straws; drinking vessels; figurines or busts made of china, ceramic, crystal, earthenware, glass, or porcelain; hair brushes; hair combs; heat-insulated vessels; lunch boxes; insulated containers for beverage cans, for domestic use; menorahs; mugs; napkin holders; napkin rings not of precious metals; non-electric portable coolers; non-metallic trays for domestic purposes; oven mitts; paper plates; pie pans; piggy banks; plastic dishes; plates; removable insulators for drink cans and bottles, namely, insulating sleeve holders for beverage cans and bottles; salt and pepper shakers; serving trays; servingware for serving food; soap dishes; sports bottles sold empty; tea kettles (non-electric); tea sets; thermal insulated containers for food or beverage; toothbrushes; trivets; vacuum bottles; vases; waste baskets; wine openers; towel rails and rings. Clothing, footwear, headgear; clothing, including, aprons, bathrobes, beachwear, beanies, belts, blouses, bottoms, cloth bibs, coats, dresses, gloves, gowns, hooded sweatshirts, hosiery, infant wear, jackets, jogging suits, Leggings (trousers), loungewear, mittens, pajamas, pants, ponchos, raincoats, rainwear, scarves, shirts, shorts, skirts, sleepwear, snow suits, suspenders, sweaters, sweatpants, sweatshirts, swimsuits, swimwear, t-shirts, ties, tops, underwear, vests; headwear, namely, caps, earmuffs, hats, skull caps, and visors; footwear, namely, shoes, boots, slippers, and socks; costumes for use in children's dress-up play; costume accessories, including, novelty headwear with integrated wigs; Halloween and masquerade costumes; cosplay costumes. Toys; games; playthings; video game apparatus; gymnastic and sporting articles; action figures; action skill games; amusement game machines; amusement park rides; balloons; balls, namely, balls for sports, play balls, rubber balls, and inflatable balls; board games; bobblehead dolls; bubble-making wand and solution sets; card games; Christmas tree decorations; Christmas tree ornaments; Christmas stockings; children's dress-up accessories in the nature of toys; costume masks; dart games; doll accessories; dolls; doll houses; elbow and knee pads for athletic use; flying discs; hand held units for playing electronic games; inflatable toys; in-line skates; jump ropes; kites; lottery tickets; marbles for games; memory games; musical toys; toy scooters; non-motorized toy scooters; party favors in the nature of small toys and toy noisemakers; party games; paper party favors; paper party hats; pet toys; pinball machines and pinball-type games; playing cards; trading card games; trading cards for games; playsets for action figures; plastic toy figurines; plush toys; puzzles; role-playing games; roller skates; sand toys; sit-in and ride-on toy vehicles; skateboards; slot machines (gaming machines); snow globes; spinning tops; swim floats for recreational use; toy bakeware and toy cookware; toy construction sets; target games; toy building blocks; toy candy dispensers; drones (toys); toy figures; toy scale model kits; toy vehicles; toys namely dolls' clothing accessories; video game consoles for use with an external display screen or monitor; video game machines; video game interactive remote control units; water toys; yo-yos; toy drones; toy putty; spinning fidget toys; exercise equipment, namely, exercise bands, balls, and weights.

15.

TECHNIQUES FOR FILE VERSIONING TO PROTECT AGAINST FILE CORRUPTION

      
Application Number 16432824
Status Pending
Filing Date 2019-06-05
First Publication Date 2020-12-10
Owner NETFLIX, INC. (USA)
Inventor
  • Blair, John David
  • Bakken, Anders Grindal

Abstract

Various embodiments disclose a method for maintaining file versions in volatile memory. The method includes storing, in volatile memory for at least a first portion of a first sync interval, a first version of a file that is not modifiable during the at least the first portion of the first sync interval. The method also includes storing, in volatile memory for at least a second portion of the first sync interval, a second version of the file that is modifiable during the at least the second portion of the first sync interval. The method also includes subsequent to the first sync interval, replacing in nonvolatile memory, a third version of the file with the first version of the file stored in volatile memory. Further, the method includes marking the second version of the file as not modifiable during at least a first portion of a second sync interval.

IPC Classes  ?

16.

TECHNIQUES FOR FILE VERSIONING TO PROTECT AGAINST FILE CORRUPTION

      
Application Number US2020036102
Publication Number 2020/247614
Status In Force
Filing Date 2020-06-04
Publication Date 2020-12-10
Owner NETFLIX, INC. (USA)
Inventor
  • Blair, John, David
  • Bakken, Anders, Grindal

Abstract

Various embodiments disclose a method for maintaining file versions in volatile memory. The method includes storing, in volatile memory for at least a first portion of a first sync interval, a first version of a file that is not modifiable during the at least the first portion of the first sync interval. The method also includes storing, in volatile memory for at least a second portion of the first sync interval, a second version of the file that is modifiable during the at least the second portion of the first sync interval. The method also includes subsequent to the first sync interval, replacing in nonvolatile memory, a third version of the file with the first version of the file stored in volatile memory. Further, the method includes marking the second version of the file as not modifiable during at least a first portion of a second sync interval.

IPC Classes  ?

  • G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • G06F 16/18 - File system types

17.

REDUCING CACHE INTERFERENCE BASED ON FORECASTED PROCESSOR USE

      
Application Number 16510756
Status Pending
Filing Date 2019-07-12
First Publication Date 2020-12-03
Owner NETFLIX, INC. (USA)
Inventor
  • Rostykus, Benoit
  • Hartmann, Gabriel

Abstract

In various embodiments, a predictive assignment application computes a forecasted amount of processor use for each workload included in a set of workloads using a trained machine-learning model. Based on the forecasted amounts of processor use, the predictive assignment application computes a performance cost estimate associated with an estimated level of cache interference arising from executing the set of workloads on a set of processors. Subsequently, the predictive assignment application determines processor assignment(s) based on the performance cost estimate. At least one processor included in the set of processors is subsequently configured to execute at least a portion of a first workload that is included in the set of workloads based on the processor assignment(s). Advantageously, because the predictive assignment application generates the processor assignment(s) based on the forecasted amounts of processor use, the isolation application can reduce interference in a non-uniform memory access (NUMA) microprocessor instance.

IPC Classes  ?

  • G06F 12/0811 - Multiuser, multiprocessor or multiprocessing cache systems with multilevel cache hierarchies
  • G06F 12/0842 - Multiuser, multiprocessor or multiprocessing cache systems for multiprocessing or multitasking
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline, look ahead
  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • G06N 20/00 - Machine learning
  • G06N 7/00 - Computer systems based on specific mathematical models

18.

TECHNIQUES FOR TEXT RENDERING USING FONT PATCHING

      
Application Number 16430125
Status Pending
Filing Date 2019-06-03
First Publication Date 2020-12-03
Owner NETFLIX, INC. (USA)
Inventor Navarro, Pedro

Abstract

Various embodiments disclose a computer-implemented method that includes receiving, subsequent to a first font file being stored in read-only memory, a first font patch file for storage in read-write memory, where each of the first font file and the first font patch file is associated with a first font and includes a different set of glyphs used to render characters for display, and a first set of glyphs included in the first font file is static, determining that a first text string includes a first set of characters to be rendered, retrieving, from at least one of the first font file and the first font patch file depending on whether a first glyph is included in the first set of glyphs, the first glyph corresponding to a first character included in the first set of characters, and rendering a portion of the first text string using the first glyph.

IPC Classes  ?

19.

REDUCING CACHE INTERFERENCE BASED ON FORECASTED PROCESSOR USE

      
Application Number US2020034943
Publication Number 2020/243318
Status In Force
Filing Date 2020-05-28
Publication Date 2020-12-03
Owner NETFLIX, INC. (USA)
Inventor
  • Rostykus, Benoit
  • Hartmann, Gabriel

Abstract

In various embodiments, a predictive assignment application computes a forecasted amount of processor use for each workload included in a set of workloads using a trained machine-learning model. Based on the forecasted amounts of processor use, the predictive assignment application computes a performance cost estimate associated with an estimated level of cache interference arising from executing the set of workloads on a set of processors. Subsequently, the predictive assignment application determines processor assignment(s) based on the performance cost estimate. At least one processor included in the set of processors is subsequently configured to execute at least a portion of a first workload that is included in the set of workloads based on the processor assignment(s). Advantageously, because the predictive assignment application generates the processor assignment(s) based on the forecasted amounts of processor use, the isolation application can reduce interference in a non-uniform memory access (NUMA) microprocessor instance.

IPC Classes  ?

  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

20.

FIRE-AND-FORGET OFFLOAD MECHANISM FOR NETWORK-BASED SERVICES

      
Application Number US2020033268
Publication Number 2020/236650
Status In Force
Filing Date 2020-05-15
Publication Date 2020-11-26
Owner NETFLIX, INC. (USA)
Inventor Girbal, Antoine Jean

Abstract

In various embodiments, a proxy application processes requests associated with a network-based service. In operation, the proxy application determines that a first request received from a client application indicates that a response to the first request can be offloaded from a server machine. Prior to transmitting the first request to the server machine, the proxy application transmits a response to the first request to the client application. The response indicates that the server machine has successfully processed the first request. Advantageously, upon receiving the response, the client application is able to initiate a second request irrespective of the server machine.

IPC Classes  ?

  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol

21.

FIRE-AND-FORGET OFFLOAD MECHANISM FOR NETWORK-BASED SERVICES

      
Application Number 16416108
Status Pending
Filing Date 2019-05-17
First Publication Date 2020-11-19
Owner NETFLIX, INC. (USA)
Inventor Girbal, Antoine Jean

Abstract

In various embodiments, a proxy application processes requests associated with a network-based service. In operation, the proxy application determines that a first request received from a client application indicates that a response to the first request can be offloaded from a server machine. Prior to transmitting the first request to the server machine, the proxy application transmits a response to the first request to the client application. The response indicates that the server machine has successfully processed the first request. Advantageously, upon receiving the response, the client application is able to initiate a second request irrespective of the server machine.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

22.

ITERATIVE TECHNIQUES FOR GENERATING MULTIPLE ENCODED VERSIONS OF A MEDIA TITLE

      
Application Number 16987331
Status Pending
Filing Date 2020-08-06
First Publication Date 2020-11-19
Owner NETFLIX, INC. (USA)
Inventor
  • Katsavounidis, Ioannis
  • Aaron, Anne
  • De Cock, Jan

Abstract

In various embodiments, an iterative encoding application generates shot encode points based on a first set of encoding points and a first shot sequence associated with a media title. The iterative encoding application performs convex hull operations across the shot encode points to generate a first convex hull. Subsequently, the iterative encoding application generates encoded media sequences based on the first convex hull and a second convex hull that is associated with both a second shot sequence associated with the media title and a second set of encoding points. The iterative encoding application determines a first optimized encoded media and a second optimized encoded media sequence from the encoded media sequences based on, respectively, a first target metric value and a second target metric value for a media metric. Portions of the optimized encoded media sequences are subsequently streamed to endpoint devices during playback of the media title.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04N 19/179 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a scene or a shot
  • H04N 19/124 - Quantisation
  • H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
  • H04N 19/146 - Data rate or code amount at the encoder output
  • H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • H04N 19/115 - Selection of the code volume for a coding unit prior to coding

23.

Automated video cropping

      
Application Number 16457586
Grant Number 10834465
Status In Force
Filing Date 2019-06-28
First Publication Date 2020-11-10
Grant Date 2020-11-10
Owner Netflix, Inc. (USA)
Inventor
  • Kansara, Apurvakumar Dilipkumar
  • Holsapple, Sanford
  • Westadt, Arica
  • Bisla, Kunal
  • Shah, Sameer

Abstract

The disclosed computer-implemented method may include receiving, as an input, segmented video scenes, where each video scene includes a specified length of video content. The method may further include scanning the video scenes to identify objects within the video scene and also determining a relative importance value for the identified objects. The relative importance value may include an indication of which objects are to be included in a cropped version of the video scene. The method may also include generating a video crop that is to be applied to the video scene such that the resulting cropped version of the video scene includes those identified objects that are to be included based on the relative importance value. The method may also include applying the generated video crop to the video scene to produce the cropped version of the video scene. Various other methods systems and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/4728 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for selecting a ROI [Region Of Interest], e.g. for requesting a higher resolution version of a selected region
  • H04N 21/485 - End-user interface for client configuration
  • H04N 21/431 - Generation of visual interfaces; Content or additional data rendering
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • H04N 21/4402 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display

24.

MACHINE LEARNING TECHNIQUES FOR DETERMINING QUALITY OF USER EXPERIENCE

      
Application Number 16401066
Status Pending
Filing Date 2019-05-01
First Publication Date 2020-11-05
Owner NETFLIX, INC. (USA)
Inventor
  • Bampis, Christos
  • Li, Zhi

Abstract

In various embodiments, a quality of experience (QoE) prediction application computes a visual quality score associated with a stream of encoded video content. The QoE prediction application also determines a rebuffering duration associated with the stream of encoded video content. Subsequently, the QoE prediction application computes an overall QoE score associated with the stream of encoded video content based on the visual quality score, the rebuffering duration, and an exponential QoE model. The exponential QoE model is generated using a plurality of subjective QoE scores and a linear regression model. The overall QoE score indicates a quality level of a user experience when viewing reconstructed video content derived from the stream of encoded video content.

IPC Classes  ?

  • H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
  • H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies

25.

TECHNIQUES FOR INCREASING THE ISOLATION OF WORKLOADS WITHIN A MULTIPROCESSOR INSTANCE

      
Application Number 16393922
Status Pending
Filing Date 2019-04-24
First Publication Date 2020-10-29
Owner NETFLIX, INC. (USA)
Inventor
  • Rostykus, Benoit
  • Hartmann, Gabriel

Abstract

In various embodiments, an isolation application determines processor assignment(s) based on a performance cost estimate. The performance cost estimate is associated with an estimated level of cache interference arising from executing a set of workloads on a set of processors. Subsequently, the isolation application configures at least one processor included in the set of processors to execute at least a portion of a first workload that is included in the set of workloads based on the processor assignment(s). Advantageously, because the isolation application generates the processor assignment(s) based on the performance cost estimate, the isolation application can reduce interference in a non-uniform memory access (NUMA) microprocessor instance.

IPC Classes  ?

  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • G06F 12/084 - Multiuser, multiprocessor or multiprocessing cache systems with a shared cache
  • G06F 12/0842 - Multiuser, multiprocessor or multiprocessing cache systems for multiprocessing or multitasking

26.

TECHNIQUES FOR INCREASING THE ISOLATION OF WORKLOADS WITHIN A MULTIPROCESSOR INSTANCE

      
Application Number US2020029695
Publication Number 2020/219793
Status In Force
Filing Date 2020-04-24
Publication Date 2020-10-29
Owner NETFLIX, INC. (USA)
Inventor
  • Rostykus, Benoit
  • Hartmann, Gabriel

Abstract

In various embodiments, an isolation application determines processor assignment(s) based on a performance cost estimate. The performance cost estimate is associated with an estimated level of cache interference arising from executing a set of workloads on a set of processors. Subsequently, the isolation application configures at least one processor included in the set of processors to execute at least a portion of a first workload that is included in the set of workloads based on the processor assignment(s). Advantageously, because the isolation application generates the processor assignment(s) based on the performance cost estimate, the isolation application can reduce interference in a non-uniform memory access (NUMA) microprocessor instance.

IPC Classes  ?

  • G06F 9/48 - Program initiating; Program switching, e.g. by interrupt
  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • G06F 12/084 - Multiuser, multiprocessor or multiprocessing cache systems with a shared cache

27.

ENCODING TECHNIQUE FOR OPTIMIZING DISTORTION AND BITRATE

      
Application Number 16882386
Status Pending
Filing Date 2020-05-22
First Publication Date 2020-09-10
Owner NETFLIX Inc. (USA)
Inventor Katsavounidis, Ioannis

Abstract

An encoding engine encodes a video sequence to provide optimal quality for a given bitrate. The encoding engine cuts the video sequence into a collection of shot sequences. Each shot sequence includes video frames captured from a particular capture point. The encoding engine resamples each shot sequence across a range of different resolutions, encodes each resampled sequence with a range of quality parameters, and then upsamples each encoded sequence to the original resolution of the video sequence. For each upsampled sequence, the encoding engine computes a quality metric and generates a data point that includes the quality metric and the resample resolution. The encoding engine collects all such data points and then computes the convex hull of the resultant data set. Based on all convex hulls across all shot sequences, the encoding engine determines an optimal collection of shot sequences for a range of bitrates

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 19/179 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a scene or a shot
  • H04N 19/192 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding the adaptation method, adaptation tool or adaptation type being iterative or recursive
  • H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • H04N 21/238 - Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 19/59 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
  • H04N 19/124 - Quantisation

28.

DYNAMICALLY ADJUSTING TEXT STRINGS BASED ON MACHINE TRANSLATION FEEDBACK

      
Application Number 16289999
Status Pending
Filing Date 2019-03-01
First Publication Date 2020-09-03
Owner Netflix, Inc. (USA)
Inventor
  • Brandall, Tim
  • Xu, Shawn

Abstract

The disclosed computer-implemented method may include accessing a string of text that includes characters written in a first language. The method may next include translating the text string into different languages using machine translation. The method may next include identifying, among the translated text strings, a shortest string and a longest string. The method may also include calculating a customized string length adjustment ratio for adjusting the length of the accessed text string based on the shortest translated string length and the longest translated string length. Furthermore, the method may include dynamically applying the calculated customized string length adjustment ratio to the accessed text string, so that the length of the accessed text string may be dynamically adjusted according to the customized string length adjustment ratio. The method may also include presenting the adjusted text string in the user interface. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G06F 17/28 - Processing or translating of natural language

29.

ADAPTIVE RETRIEVAL OF OBJECTS FROM REMOTE STORAGE

      
Application Number 16798103
Status Pending
Filing Date 2020-02-21
First Publication Date 2020-08-27
Owner NETFLIX, INC. (USA)
Inventor
  • Alon, Barak
  • Simic, Zoran
  • Denlinger, Darrell
  • Vasani, Ameya

Abstract

Various embodiments of the present application set forth a computer-implemented method for accessing data comprising identifying a first set of read operations occurring during a first time period, where each read operation included in the set of read operations is associated with retrieving a different portion of at least one object from a storage system, determining a byte density associated with the set of read operations, where the byte density indicates a size of contiguous portions of the at least one object that were retrieved during the first time period, and determining, based on the byte density, a pre-buffering block size for a read operation during a second period, where the pre-buffering block size specifies a size of a portion of at least one object that is to be retrieved from the storage system.

IPC Classes  ?

  • G06F 12/0868 - Data transfer between cache memory and other subsystems, e.g. storage devices or host systems
  • G06F 12/02 - Addressing or allocation; Relocation
  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • G06F 9/54 - Interprogram communication
  • G06F 16/14 - File systems; File servers - Details of searching files based on file metadata
  • G06F 16/182 - Distributed file systems

30.

ADAPTIVE RETRIEVAL OF OBJECTS FROM REMOTE STORAGE

      
Application Number US2020019307
Publication Number 2020/172586
Status In Force
Filing Date 2020-02-21
Publication Date 2020-08-27
Owner NETFLIX, INC. (USA)
Inventor
  • Alon, Barak
  • Simic, Zoran
  • Denlinger, Darrell
  • Vasani, Ameya
  • Wong, Rick

Abstract

Various embodiments of the present application set forth a computer-implemented method for accessing data comprising identifying a first set of read operations occurring during a first time period, where each read operation included in the set of read operations is associated with retrieving a different portion of at least one object from a storage system, determining a byte density associated with the set of read operations, where the byte density indicates a size of contiguous portions of the at least one object that were retrieved during the first time period, and determining, based on the byte density, a pre-buffering block size for a read operation during a second period, where the pre-buffering block size specifies a size of a portion of at least one object that is to be retrieved from the storage system.

IPC Classes  ?

  • G06F 3/06 - Digital input from, or digital output to, record carriers

31.

TECHNIQUES FOR ADVANCING PLAYBACK OF INTERACTIVE MEDIA TITLES IN RESPONSE TO USER SELECTIONS

      
Application Number US2020017713
Publication Number 2020/167801
Status In Force
Filing Date 2020-02-11
Publication Date 2020-08-20
Owner NETFLIX, INC. (USA)
Inventor Watson, Mark

Abstract

A playback application seamlessly advances playback of and interactive media title in response to user selections in a manner that minimizes latency and preserves user immersion in a narrative. The playback application buffers an interstitial segment included in the interactive media title and feeds portions of the interstitial segment to a media player only when those portions are needed for display. When the user selects an option displayed during the interstitial segment, the playback application begins buffering a subsequent media segment and stops feeding portions of the interstitial segment to the media player. The playback application starts feeding blocks of the subsequent media segment to the media player and then seamlessly advances playback to the subsequent media segment.

IPC Classes  ?

  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings

32.

Display screen or portion thereof with animated graphical user interface

      
Application Number 29666711
Grant Number D0893538
Status In Force
Filing Date 2018-10-15
First Publication Date 2020-08-18
Grant Date 2020-08-18
Owner NETFLIX, INC. (USA)
Inventor
  • Collins, Derek
  • Johnson, Ben
  • Davis, Glen
  • Ivlev, Alex
  • Fox, John
  • Godinho Varaschin De Moraes, Juliano
  • Gorthi, Aditya
  • Law, Andy
  • Tedore, Michaela

33.

Techniques for advancing playback of interactive media titles in response to user selections

      
Application Number 16273082
Grant Number 10771865
Status In Force
Filing Date 2019-02-11
First Publication Date 2020-08-13
Grant Date 2020-09-08
Owner NETFLIX, INC. (USA)
Inventor Watson, Mark

Abstract

A playback application seamlessly advances playback of and interactive media title in response to user selections in a manner that minimizes latency and preserves user immersion in a narrative. The playback application buffers an interstitial segment included in the interactive media title and feeds portions of the interstitial segment to a media player only when those portions are needed for display. When the user selects an option displayed during the interstitial segment, the playback application begins buffering a subsequent media segment and stops feeding portions of the interstitial segment to the media player. The playback application starts feeding blocks of the subsequent media segment to the media player and then seamlessly advances playback to the subsequent media segment.

IPC Classes  ?

  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 21/8545 - Content authoring for generating interactive applications
  • H04N 21/6587 - Control parameters, e.g. trick play commands or viewpoint selection

34.

TECHNIQUES FOR EFFICIENTLY PERFORMING SUBSEQUENCE-BASED ENCODING FOR A MEDIA TITLE

      
Application Number US2020016528
Publication Number 2020/163289
Status In Force
Filing Date 2020-02-04
Publication Date 2020-08-13
Owner NETFLIX, INC. (USA)
Inventor
  • Wallendael, Glenn Van
  • Aaron, Anne
  • Swanson, Kyle
  • De Cock, Jan
  • Guo, Liwei
  • Bhaskar, Sonia

Abstract

In various embodiments, an interpolation-based encoding application encodes a first subsequence included in a media title at each encoding point included in a first set of encoding points to generate encoded subsequences. Subsequently, the interpolation-based encoding application performs interpolation operation(s) based on the encoded subsequences to estimate a first media metric value associated with a first encoding point that is not included in the first set of encoding points. The interpolation-based encoding application then generates an encoding recipe based on the encoded subsequences and the first media metric value. The encoding recipe specifies a different encoding point for each subsequence included in the media title. After determining that the encoding recipe specifies the first encoding point for the first subsequence, the interpolation-based encoding application encodes the first subsequence at the first encoding point to generate at least a portion of an encoded version of the media title.

IPC Classes  ?

  • H04N 19/179 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a scene or a shot
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • H04N 19/149 - Data rate or code amount at the encoder output by estimating the code amount by means of a model, e.g. mathematical model or statistical model
  • H04N 19/115 - Selection of the code volume for a coding unit prior to coding

35.

Modular device connector

      
Application Number 16733944
Grant Number 10743435
Status In Force
Filing Date 2020-01-03
First Publication Date 2020-08-11
Grant Date 2020-08-11
Owner Netflix, Inc. (USA)
Inventor
  • Villarico, Denzil
  • Davis, Marcus
  • Phelps, Justin

Abstract

The disclosed apparatus may include a rack-side support structure dimensioned to hold a two-sided port interface with a rack-side mating end and an adapter-side mating end. The rack-side mating end may be configured to interface with supply cables, and the adapter-side mating end may be configured to interface with an opposite adapter-side mating end of another port interface. The apparatus may also include a device-side support structure dimensioned to hold a two-sided port interface including an opposing adapter-side mating end and a device-side mating end. The opposing adapter-side mating end may be configured to interface with the adapter-side mating end of the rack-side's port interface, and the device-side mating end may interface with cables that connect to the electronic devices. The rack-side support structure may be configured to interlock with the device-side support structure to connect to the electronic devices. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H05K 7/14 - Mounting supporting structure in casing or on frame or rack
  • G06F 1/18 - Packaging or power distribution

36.

Display screen or portion thereof with animated graphical user interface

      
Application Number 29666710
Grant Number D0892851
Status In Force
Filing Date 2018-10-15
First Publication Date 2020-08-11
Grant Date 2020-08-11
Owner NETFLIX, INC. (USA)
Inventor
  • Collins, Derek
  • Johnson, Ben
  • Davis, Glen
  • Ivlev, Alex
  • Fox, John
  • Godinho Varaschin De Moraes, Juliano
  • Gorthi, Aditya
  • Law, Andy
  • Tedore, Michaela

37.

Display screen or portion thereof with animated graphical user interface

      
Application Number 29666712
Grant Number D0892852
Status In Force
Filing Date 2018-10-15
First Publication Date 2020-08-11
Grant Date 2020-08-11
Owner NETFLIX, INC. (USA)
Inventor
  • Collins, Derek
  • Johnson, Ben
  • Davis, Glen
  • Ivlev, Alex
  • Fox, John
  • Godinho Varaschin De Moraes, Juliano
  • Gorthi, Aditya
  • Law, Andy
  • Tedore, Michaela

38.

Display screen or portion thereof with animated graphical user interface

      
Application Number 29666713
Grant Number D0892853
Status In Force
Filing Date 2018-10-15
First Publication Date 2020-08-11
Grant Date 2020-08-11
Owner NETFLIX, INC. (USA)
Inventor
  • Collins, Derek
  • Johnson, Ben
  • Davis, Glen
  • Ivlev, Alex
  • Fox, John
  • Godinho Varaschin De Moraes, Juliano
  • Gorthi, Aditya
  • Law, Andy
  • Tedore, Michaela

39.

INTERACTIVE INTERFACE FOR IDENTIFYING DEFECTS IN VIDEO CONTENT

      
Document Number 03102274
Status Pending
Filing Date 2019-12-18
Open to Public Date 2020-08-06
Owner NETFLIX, INC. (USA)
Inventor
  • Soni, Abhishek
  • Prakash, Adithya
  • Ladda, Shraddha
  • Mack, Thomas E.

Abstract

The disclosed computer-implemented method may include accessing defect identification data that identifies defects in frames of video content. The method may also include generating, as part of the interactive user interface, an interactive element that presents the frames of video content. The method may further include generating, as part of the interactive user interface, another interactive element that presents selectable metadata items associated with the identified defects in the frames of video content. At least one of the selectable metadata items may include an associated user interface action. Then, upon receiving an input selecting one of the selectable metadata items, the method may include performing the associated user interface action. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
  • H04N 21/854 - Content authoring
  • H04N 17/00 - Diagnosis, testing or measuring for television systems or their details

40.

TECHNIQUES FOR EFFICIENTLY PERFORMING SUBSEQUENCE-BASED ENCODING FOR A MEDIA TITLE

      
Application Number 16780752
Status Pending
Filing Date 2020-02-03
First Publication Date 2020-08-06
Owner NETFLIX, INC. (USA)
Inventor
  • Wallendael, Glenn Van
  • Aaron, Anne
  • Swanson, Kyle
  • De Cock, Jan
  • Guo, Liwei
  • Bhaskar, Sonia

Abstract

In various embodiments, an interpolation-based encoding application encodes a first subsequence included in a media title at each encoding point included in a first set of encoding points to generate encoded subsequences. Subsequently, the interpolation-based encoding application performs interpolation operation(s) based on the encoded subsequences to estimate a first media metric value associated with a first encoding point that is not included in the first set of encoding points. The interpolation-based encoding application then generates an encoding recipe based on the encoded subsequences and the first media metric value. The encoding recipe specifies a different encoding point for each subsequence included in the media title. After determining that the encoding recipe specifies the first encoding point for the first subsequence, the interpolation-based encoding application encodes the first subsequence at the first encoding point to generate at least a portion of an encoded version of the media title.

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04N 19/587 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal sub-sampling or interpolation, e.g. decimation or subsequent interpolation of pictures in a video sequence

41.

INTERACTIVE INTERFACE FOR IDENTIFYING DEFECTS IN VIDEO CONTENT

      
Application Number US2019067292
Publication Number 2020/159639
Status In Force
Filing Date 2019-12-18
Publication Date 2020-08-06
Owner NETFLIX, INC. (USA)
Inventor
  • Soni, Abhishek
  • Prakash, Adithya
  • Ladda, Shraddha
  • Mack, Thomas E.

Abstract

The disclosed computer-implemented method may include accessing defect identification data that identifies defects in frames of video content. The method may also include generating, as part of the interactive user interface, an interactive element that presents the frames of video content. The method may further include generating, as part of the interactive user interface, another interactive element that presents selectable metadata items associated with the identified defects in the frames of video content. At least one of the selectable metadata items may include an associated user interface action. Then, upon receiving an input selecting one of the selectable metadata items, the method may include performing the associated user interface action. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 17/00 - Diagnosis, testing or measuring for television systems or their details
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
  • H04N 21/854 - Content authoring

42.

BRANCHING LOGIC IN A PLAYBACK ENVIRONMENT

      
Application Number US2020015979
Publication Number 2020/160341
Status In Force
Filing Date 2020-01-30
Publication Date 2020-08-06
Owner NETFLIX, INC. (USA)
Inventor
  • Lee, Kevin Pei-Wen
  • Jones, Lawrence E. Jr.
  • Lea, Joseph, Peyton Iv

Abstract

The disclosed computer-implemented method may include accessing a pre-rendered multimedia item. The pre-rendered multimedia item may have branching logic associated with it, where the branching logic includes branching points that direct non-sequential playback of the pre-rendered multimedia item. The method may also include initializing playback of the pre-rendered multimedia item and accessing, at the branching points, various trigger conditions that direct playback order of different segments of the pre-rendered multimedia item. The method may then include updating, based on the trigger conditions, at least some portion of custom state data. The method may further include playing back the segments of the pre-rendered multimedia item according to the updated state data. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

43.

BRANCHING LOGIC IN A PLAYBACK ENVIRONMENT

      
Document Number 03102150
Status Pending
Filing Date 2020-01-30
Open to Public Date 2020-08-06
Owner NETFLIX, INC. (USA)
Inventor
  • Lee, Kevin Pei-Wen
  • Jones, Lawrence E., Jr.
  • Lea, Joseph Peyton Iv

Abstract

The disclosed computer-implemented method may include accessing a pre-rendered multimedia item. The pre-rendered multimedia item may have branching logic associated with it, where the branching logic includes branching points that direct non-sequential playback of the pre-rendered multimedia item. The method may also include initializing playback of the pre-rendered multimedia item and accessing, at the branching points, various trigger conditions that direct playback order of different segments of the pre-rendered multimedia item. The method may then include updating, based on the trigger conditions, at least some portion of custom state data. The method may further include playing back the segments of the pre-rendered multimedia item according to the updated state data. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

44.

INTERACTIVE INTERFACE FOR IDENTIFYING DEFECTS IN VIDEO CONTENT

      
Application Number 16262904
Status Pending
Filing Date 2019-01-30
First Publication Date 2020-07-30
Owner Netflix, Inc. (USA)
Inventor
  • Soni, Abhishek
  • Prakash, Adithya
  • Ladda, Shraddha
  • Mack, Thomas E.

Abstract

The disclosed computer-implemented method may include accessing defect identification data that identifies defects in frames of video content. The method may also include generating, as part of the interactive user interface, an interactive element that presents the frames of video content. The method may further include generating, as part of the interactive user interface, another interactive element that presents selectable metadata items associated with the identified defects in the frames of video content. At least one of the selectable metadata items may include an associated user interface action. Then, upon receiving an input selecting one of the selectable metadata items, the method may include performing the associated user interface action. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object or an image, setting a parameter value or selecting a range
  • G06F 3/0482 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance interaction with lists of selectable items, e.g. menus
  • G06T 7/20 - Analysis of motion
  • G11B 27/031 - Electronic editing of digitised analogue information signals, e.g. audio or video signals

45.

BRANCHING LOGIC IN A PLAYBACK ENVIRONMENT

      
Application Number 16777864
Status Pending
Filing Date 2020-01-30
First Publication Date 2020-07-30
Owner Netflix, Inc. (USA)
Inventor
  • Lee, Kevin Pei-Wen
  • Jones, Jr., Lawrence E.
  • Lea, Iv, Joseph Peyton

Abstract

The disclosed computer-implemented method may include accessing a pre-rendered multimedia item. The pre-rendered multimedia item may have branching logic associated with it, where the branching logic includes branching points that direct non-sequential playback of the pre-rendered multimedia item. The method may also include initializing playback of the pre-rendered multimedia item and accessing, at the branching points, various trigger conditions that direct playback order of different segments of the pre-rendered multimedia item. The method may then include updating, based on the trigger conditions, at least some portion of custom state data. The method may further include playing back the segments of the pre-rendered multimedia item according to the updated state data. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G11B 27/10 - Indexing; Addressing; Timing or synchronising; Measuring tape travel
  • G06F 16/44 - Browsing; Visualisation therefor
  • H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content

46.

Display screen or portion thereof with animated graphical user interface

      
Application Number 29672447
Grant Number D0890793
Status In Force
Filing Date 2018-12-05
First Publication Date 2020-07-21
Grant Date 2020-07-21
Owner NETFLIX, INC. (USA)
Inventor
  • Loper, Emily
  • Hsieh, Eric
  • O'Connor, Kevin
  • Lesko, Joe
  • Aragon, David

47.

HASH DATA STRUCTURE BIASING

      
Application Number 16831670
Status Pending
Filing Date 2020-03-26
First Publication Date 2020-07-16
Owner NETFLIX INC. (USA)
Inventor
  • Davis, Jeffrey
  • Berglund, Andrew
  • Pfitzner, David

Abstract

One embodiment of the present invention sets forth a technique for generating one or more hash data structures. The technique includes generating a hash data structure having entries that correspond to a plurality of content servers, and, for each file included in a first plurality of files, allocating the file to one or more content servers included in the plurality of content servers by comparing a hash value associated with the file to one or more entries included in the entries. The technique further includes comparing a network bandwidth utilization of a first content server to a network bandwidth utilization associated with one or more other content servers included in the plurality of content servers to generate a result, and modifying a first number of entries associated with the first content server and included in the entries based on the result to generate a biased hash data structure.

IPC Classes  ?

  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • G06F 16/13 - File access structures, e.g. distributed indices
  • H04L 12/743 - Header address processing for routing, e.g. table lookup using hashing techniques

48.

OPTIMIZING ENCODING OPERATIONS WHEN GENERATING A BUFFER-CONSTRAINED VERSION OF A MEDIA TITLE

      
Application Number US2020012810
Publication Number 2020/146549
Status In Force
Filing Date 2020-01-08
Publication Date 2020-07-16
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a buffer-based encoding application generates a first convex hull of subsequence encode points based on multiple encoding points and a first subsequence associated with a media title. The buffer-based encoding application then generates a first global convex hull of media encode points based on a transmission buffer constraint, the first convex hull, and a second global convex hull of media encode points. Notably, the second global convex hull is associated with a portion of the media title that occurs before the first subsequence in a playback order for the media title. Subsequently, the subsequence-based encoding application selects a first media encode point included in the first global convex hull based on a media metric and determines a first encoded media sequence based on the selected media encode point. The first encoded media sequence is subsequently streamed to an endpoint device during playback of the media title.

IPC Classes  ?

  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/2662 - Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • H04N 19/149 - Data rate or code amount at the encoder output by estimating the code amount by means of a model, e.g. mathematical model or statistical model
  • H04N 19/15 - Data rate or code amount at the encoder output by monitoring actual compressed data size at the memory before deciding storage at the transmission buffer
  • H04N 19/152 - Data rate or code amount at the encoder output by measuring the fullness of the transmission buffer
  • H04N 19/146 - Data rate or code amount at the encoder output

49.

OPTIMIZING ENCODING OPERATIONS WHEN GENERATING A BUFFER-CONSTRAINED VERSION OF A MEDIA TITLE

      
Application Number 16244033
Status Pending
Filing Date 2019-01-09
First Publication Date 2020-07-09
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a buffer-based encoding application generates a first convex hull of subsequence encode points based on multiple encoding points and a first subsequence associated with a media title. The buffer-based encoding application then generates a first global convex hull of media encode points based on a transmission buffer constraint, the first convex hull, and a second global convex hull of media encode points. Notably, the second global convex hull is associated with a portion of the media title that occurs before the first subsequence in a playback order for the media title. Subsequently, the subsequence-based encoding application selects a first media encode point included in the first global convex hull based on a media metric and determines a first encoded media sequence based on the selected media encode point. The first encoded media sequence is subsequently streamed to an endpoint device during playback of the media title.

IPC Classes  ?

  • H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
  • H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video stream; Remultiplexing of multiplex streams; Insertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rate; Assembling of a packetised elementary stream
  • H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
  • H04N 21/2662 - Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities

50.

CACHE WARMING: AGILITY FOR A STATEFUL SERVICE

      
Document Number 03102145
Status Pending
Filing Date 2019-11-25
Open to Public Date 2020-06-11
Owner NETFLIX, INC. (USA)
Inventor
  • Jayaraman, Deva
  • Madappa, Shashi
  • Enugula, Sridhar
  • Papapanagiotou, Ioannis

Abstract

The disclosed computer-implemented method includes receiving an indication that cache data is to be copied from an originating cluster having a specified number of replica nodes to a destination cluster having an arbitrary number of replica nodes. The method further includes copying the cache data to a cache dump and creating a log that identifies where the cache data is stored in the cache dump. The method further includes copying the cache data from the cache dump to the replica nodes of the destination cluster. The copying includes writing the copied data in a distributed manner, such that at least a portion of the copied data is distributed over each of the replica nodes in the destination cluster. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

51.

LINEAR ON-SCREEN KEYBOARD WITH FLOATING UTILITY KEYS

      
Application Number 16287946
Status Pending
Filing Date 2019-02-27
First Publication Date 2020-06-11
Owner NETFLIX, INC. (USA)
Inventor
  • Loper, Emily
  • Hsieh, Eric
  • O'Connor, Kevin
  • Lesko, Joseph William
  • Aragon, David

Abstract

A computer-implemented method causing a linear on-screen keyboard that includes an array of input keys and a focus indicator to be displayed, wherein navigation of the focus indicator to an input key in the array enables a selection of a character corresponding to the input key; and upon determining that the focus indicator has navigated to a first input key in the array, causing one or more utility keys to be displayed proximate to the first input key.

IPC Classes  ?

  • G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
  • G06F 3/0482 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance interaction with lists of selectable items, e.g. menus

52.

CACHE WARMING: AGILITY FOR A STATEFUL SERVICE

      
Application Number US2019062982
Publication Number 2020/117521
Status In Force
Filing Date 2019-11-25
Publication Date 2020-06-11
Owner NETFLIX, INC. (USA)
Inventor
  • Jayaraman, Deva
  • Madappa, Shashi
  • Enugula, Sridhar
  • Papapanagiotou, Ioannis

Abstract

The disclosed computer-implemented method includes receiving an indication that cache data is to be copied from an originating cluster having a specified number of replica nodes to a destination cluster having an arbitrary number of replica nodes. The method further includes copying the cache data to a cache dump and creating a log that identifies where the cache data is stored in the cache dump. The method further includes copying the cache data from the cache dump to the replica nodes of the destination cluster. The copying includes writing the copied data in a distributed manner, such that at least a portion of the copied data is distributed over each of the replica nodes in the destination cluster. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

53.

TECHNIQUES FOR ENCODING A MEDIA TITLE WHILE CONSTRAINING BITRATE VARIATIONS

      
Application Number US2019063115
Publication Number 2020/112697
Status In Force
Filing Date 2019-11-25
Publication Date 2020-06-04
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a subsequence-based encoding application generates a first set of subsequence encode points based on multiple encoding points and a first subsequence included in a set of subsequences that are associated with a media title. Notably, each subsequence encode point is associated with a different encoded subsequence. The subsequence-based encoding application then performs convex hull operation(s) across the first set of subsequence encode points to generate a first convex hull. The subsequence-based encoding application then generates an encode list that includes multiple subsequence encode points based on multiple convex hulls, including the first convex hull. Subsequently, the subsequence-based encoding application performs filtering operation(s) on the encode list based on a variability constraint associated with a media metric to generate an upgrade candidate list. Finally, the subsequence-based encoding application generates an encoded media sequence based on the upgrade candidate list and the first convex hull.

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/238 - Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
  • H04N 19/115 - Selection of the code volume for a coding unit prior to coding
  • H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • H04N 19/179 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a scene or a shot
  • H04N 19/192 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding the adaptation method, adaptation tool or adaptation type being iterative or recursive

54.

CACHE WARMING: AGILITY FOR A STATEFUL SERVICE

      
Application Number 16561668
Status Pending
Filing Date 2019-09-05
First Publication Date 2020-06-04
Owner Netflix, Inc. (USA)
Inventor
  • Jayaraman, Deva
  • Madappa, Shashi
  • Enugula, Sridhar
  • Papapanagiotou, Ioannis

Abstract

The disclosed computer-implemented method includes receiving an indication that cache data is to be copied from an originating cluster having a specified number of replica nodes to a destination cluster having an arbitrary number of replica nodes. The method further includes copying the cache data to a cache dump and creating a log that identifies where the cache data is stored in the cache dump. The method further includes copying the cache data from the cache dump to the replica nodes of the destination cluster. The copying includes writing the copied data in a distributed manner, such that at least a portion of the copied data is distributed over each of the replica nodes in the destination cluster. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G06F 12/0895 - Caches characterised by their organisation or structure of parts of caches, e.g. directory or tag array
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline, look ahead
  • G06F 3/06 - Digital input from, or digital output to, record carriers
  • G06F 12/0891 - Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches using clearing, invalidating or resetting means
  • G06F 12/0837 - Cache consistency protocols with software control, e.g. non-cacheable data

55.

TECHNIQUES FOR ENCODING A MEDIA TITLE WHILE CONSTRAINING QUALITY VARIATIONS

      
Application Number US2019063114
Publication Number 2020/112696
Status In Force
Filing Date 2019-11-25
Publication Date 2020-06-04
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a subsequence-based encoding application generates a convex hull of subsequence encode points based on multiple encoding points and a first subsequence included in a set of subsequences that are associated with a media title. The subsequence-based encoding application then generates a first encode list that includes multiple subsequence encode points based on the first convex hull. Notably, each subsequence encode point included in the first encode list is associated with a different subsequence. The subsequence-based encoding application selects a first subsequence encode point included in the first encode list based on a first variability constraint that is associated with a media metric. The subsequence-based encoding application then replaces the first subsequence encode point included in the first encode list with a second subsequence encode point to generate a second encode list. Finally, the subsequence-based encoding application generates an encoded media sequence based on the second encode list.

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/238 - Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
  • H04N 19/115 - Selection of the code volume for a coding unit prior to coding
  • H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • H04N 19/179 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a scene or a shot
  • H04N 19/192 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding the adaptation method, adaptation tool or adaptation type being iterative or recursive

56.

Techniques for encoding a media title while constraining bitrate variations

      
Application Number 16203552
Grant Number 10841356
Status In Force
Filing Date 2018-11-28
First Publication Date 2020-05-28
Grant Date 2020-11-17
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a subsequence-based encoding application generates a first set of subsequence encode points based on multiple encoding points and a first subsequence included in a set of subsequences that are associated with a media title. Notably, each subsequence encode point is associated with a different encoded subsequence. The subsequence-based encoding application then performs convex hull operation(s) across the first set of subsequence encode points to generate a first convex hull. The subsequence-based encoding application then generates an encode list that includes multiple subsequence encode points based on multiple convex hulls, including the first convex hull. Subsequently, the subsequence-based encoding application performs filtering operation(s) on the encode list based on a variability constraint associated with a media metric to generate an upgrade candidate list. Finally, the subsequence-based encoding application generates an encoded media sequence based on the upgrade candidate list and the first convex hull.

IPC Classes  ?

  • G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • H04N 19/87 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving scene cut or scene change detection in combination with video compression
  • H04N 19/59 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
  • H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

57.

TECHNIQUES FOR IDENTIFYING SYNCHRONIZATION ERRORS IN MEDIA TITLES

      
Application Number US2019062240
Publication Number 2020/106737
Status In Force
Filing Date 2019-11-19
Publication Date 2020-05-28
Owner NETFLIX, INC. (USA)
Inventor
  • Puri, Rohit
  • Khosravan, Naji
  • Behrostaghi, Shervin Ardeshir

Abstract

A neural network system that is trained to identify one or more portions of a media title where synchronization errors are likely to be present. The neural network system is trained based on a first set of media titles where synchronization errors are present and a second set of media titles where synchronization errors are absent. The second set of media titles can be generated by introducing synchronization errors into a set of media titles that otherwise lack synchronization errors. Via training, the neural network system learns to identify specific visual features included in one or more video frames and corresponding audio features that should be played back in synchrony with the associated visual features. Accordingly, when presented with a media title that includes synchronization errors, the neural network can indicate the specific frames where synchronization errors are likely to be present.

IPC Classes  ?

  • G05B 23/02 - Electric testing or monitoring
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06N 3/04 - Architecture, e.g. interconnection topology

58.

Techniques for encoding a media title while constraining quality variations

      
Application Number 16203549
Grant Number 10880354
Status In Force
Filing Date 2018-11-28
First Publication Date 2020-05-28
Grant Date 2020-12-29
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a subsequence-based encoding application generates a convex hull of subsequence encode points based on multiple encoding points and a first subsequence included in a set of subsequences that are associated with a media title. The subsequence-based encoding application then generates a first encode list that includes multiple subsequence encode points based on the first convex hull. Notably, each subsequence encode point included in the first encode list is associated with a different subsequence. The subsequence-based encoding application selects a first subsequence encode point included in the first encode list based on a first variability constraint that is associated with a media metric. The subsequence-based encoding application then replaces the first subsequence encode point included in the first encode list with a second subsequence encode point to generate a second encode list. Finally, the subsequence-based encoding application generates an encoded media sequence based on the second encode list.

IPC Classes  ?

  • G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
  • H04N 19/59 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
  • H04N 19/87 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving scene cut or scene change detection in combination with video compression

59.

SYSTEMS AND METHODS FOR ADAPTIVE STREAMING OF MULTIMEDIA CONTENT

      
Application Number US2019060963
Publication Number 2020/102221
Status In Force
Filing Date 2019-11-12
Publication Date 2020-05-22
Owner NETFLIX, INC. (USA)
Inventor
  • Sharma, Sean
  • Du Pontavice, Guillaume

Abstract

The disclosed computer-implemented method includes determining that audio quality is to be adjusted for a multimedia streaming connection over which audio data and video data are being streamed to a content player. The audio data is streamed at a specified audio quality level and the video data is streamed at a specified video quality level. The method also includes determining that a specified minimum video quality level is to be maintained while adjusting the audio quality level. Still further, the method includes dynamically adjusting the audio quality level of the multimedia streaming connection while maintaining the video quality level of the multimedia streaming connection at at least the specified minimum video quality level. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/2381 - Adapting the multiplex stream to a specific network, e.g. an IP [Internet Protocol] network
  • H04N 21/2385 - Channel allocation; Bandwidth allocation
  • H04N 21/2662 - Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
  • H04N 21/239 - Interfacing the upstream path of the transmission network, e.g. prioritizing client requests

60.

TECHNIQUES FOR IDENTIFYING SYNCHRONIZATION ERRORS IN MEDIA TITLES

      
Application Number 16687209
Status Pending
Filing Date 2019-11-18
First Publication Date 2020-05-21
Owner NETFLIX, INC. (USA)
Inventor
  • Puri, Rohit
  • Khosravan, Naji
  • Behrostaghi, Shervin Ardeshir

Abstract

A neural network system that is trained to identify one or more portions of a media title where synchronization errors are likely to be present. The neural network system is trained based on a first set of media titles where synchronization errors are present and a second set of media titles where synchronization errors are absent. The second set of media titles can be generated by introducing synchronization errors into a set of media titles that otherwise lack synchronization errors. Via training, the neural network system learns to identify specific visual features included in one or more video frames and corresponding audio features that should be played back in synchrony with the associated visual features. Accordingly, when presented with a media title that includes synchronization errors, the neural network can indicate the specific frames where synchronization errors are likely to be present.

IPC Classes  ?

  • G11B 27/36 - Monitoring, i.e. supervising the progress of recording or reproducing
  • G10L 25/57 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for processing of video signals
  • G10L 25/30 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the analysis technique using neural networks
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods

61.

IDENTIFYING IMAGE AESTHETICS USING REGION COMPOSITION GRAPHS

      
Document Number 03102017
Status Pending
Filing Date 2019-11-07
Open to Public Date 2020-05-14
Owner NETFLIX, INC. (USA)
Inventor
  • Liu, Dong
  • Kamath, Nagendra
  • Puri, Rohit
  • Bhattacharya, Subhabrata

Abstract

The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

62.

MANAGING CONTENT ON AN ISP CACHE

      
Application Number 16740344
Status Pending
Filing Date 2020-01-10
First Publication Date 2020-05-14
Owner NETFLIX, INC. (USA)
Inventor
  • Fullagar, David
  • Florance, Kenneth W.
  • Van Hoven, Ian

Abstract

One embodiment of the present invention sets forth a method for updating content stored in a cache residing at an internet service provider (ISP) location that includes receiving popularity data associated with a first plurality of content assets, where the popularity data indicate the popularity of each content asset in the first plurality of content assets across a user base that spans multiple geographic regions, generating a manifest that includes a second plurality of content assets based on the popularity data and a geographic location associated with the cache, where each content asset included in the manifest is determined to be popular among users proximate to the geographic location or users with preferences similar to users proximate to the geographic location, and transmitting the manifest to the cache, where the cache is configured to update one or more content assets stored in the cache based on the manifest.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • G06F 16/958 - Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
  • G06F 16/957 - Browsing optimisation, e.g. caching or content distillation
  • H04N 21/218 - Source of audio or video content, e.g. local disk arrays
  • H04N 21/222 - Secondary servers, e.g. proxy server or cable television Head-end
  • H04N 21/237 - Communication with additional data server
  • H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
  • H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
  • H04N 21/61 - Network physical structure; Signal processing
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • G06Q 10/00 - Administration; Management
  • G06F 15/167 - Interprocessor communication using a common memory, e.g. mailbox

63.

IDENTIFYING IMAGE AESTHETICS USING REGION COMPOSITION GRAPHS

      
Application Number 16677161
Status Pending
Filing Date 2019-11-07
First Publication Date 2020-05-14
Owner Netflix, Inc. (USA)
Inventor
  • Liu, Dong
  • Kamath, Nagendra
  • Puri, Rohit
  • Bhattacharya, Subhabrata

Abstract

The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06K 9/46 - Extraction of features or characteristics of the image
  • G06N 3/08 - Learning methods
  • G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning
  • G06T 7/11 - Region-based segmentation
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

64.

SYSTEMS AND METHODS FOR ADAPTIVE STREAMING OF MULTIMEDIA CONTENT

      
Application Number 16680482
Status Pending
Filing Date 2019-11-11
First Publication Date 2020-05-14
Owner Netflix, Inc. (USA)
Inventor
  • Sharma, Sean
  • Du Pontavice, Guillaume

Abstract

The disclosed computer-implemented method includes determining that audio quality is to be adjusted for a multimedia streaming connection over which audio data and video data are being streamed to a content player. The audio data is streamed at a specified audio quality level and the video data is streamed at a specified video quality level. The method also includes determining that a specified minimum video quality level is to be maintained while adjusting the audio quality level. Still further, the method includes dynamically adjusting the audio quality level of the multimedia streaming connection while maintaining the video quality level of the multimedia streaming connection at at least the specified minimum video quality level. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G11B 20/00 - Signal processing not specific to the method of recording or reproducing; Circuits therefor
  • H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
  • H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
  • H04N 1/32 - Circuits or arrangements for control or supervision between transmitter and receiver
  • G06T 1/00 - General purpose image data processing

65.

IDENTIFYING IMAGE AESTHETICS USING REGION COMPOSITION GRAPHS

      
Application Number US2019060365
Publication Number 2020/097401
Status In Force
Filing Date 2019-11-07
Publication Date 2020-05-14
Owner NETFLIX, INC. (USA)
Inventor
  • Liu, Dong
  • Kamath, Nagendra
  • Puri, Rohit
  • Bhattacharya, Subhabrata

Abstract

The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

66.

TECHNIQUES FOR ENCODING A MEDIA TITLE VIA MULTIPLE ENCODERS

      
Application Number 16179820
Status Pending
Filing Date 2018-11-02
First Publication Date 2020-05-07
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a subsequence-based encoding application generates subsequences based on a source sequence associated with a media title. The subsequence-based encoding application then encodes both a first subsequence and a second subsequence across each of multiple configured encoders and at least one rate control value to generate, respectively, a first set of encoded subsequences and a second set of encoded subsequences. Notably, each configured encoder is associated with a combination of an encoder and a configuration, and at least two configured encoders are different from one another. Subsequently, the subsequence-based encoding application generates encoded media sequences based on the first set of encoded subsequences and the second set of encoded subsequences. Finally, the application selects a first encoded media sequence from the encoded media sequences based on a first target value for a media metric to subsequently stream to a first endpoint device during playback of the media title.

IPC Classes  ?

  • H04N 21/2662 - Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
  • H04N 21/238 - Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements

67.

TECHNIQUES FOR RECOMMENDING ITEMS TO USERS

      
Application Number 16664761
Status Pending
Filing Date 2019-10-25
First Publication Date 2020-05-07
Owner NETFLIX, INC. (USA)
Inventor Steck, Harald

Abstract

In various embodiments, a training application generates a preference prediction model based on an interaction matrix and a closed-form solution for minimizing a Lagrangian. The interaction matrix reflects interactions between users and items, and the Lagrangian is formed based on a constrained optimization problem associated with the interaction matrix. A service application generates a first application interface that is to be presented to the user. The service application computes predicted score(s) using the preference prediction model, where each predicted score predicts a preference of the user for a different item. The service application then determines a first item from the items to present to the user via an interface element included in the application interface. Subsequently, the service application causes a representation of the first item to be displayed via the interface element included in the application interface.

IPC Classes  ?

68.

VIDEO PLAYBACK IN AN ONLINE STREAMING ENVIRONMENT

      
Application Number 16669150
Status Pending
Filing Date 2019-10-30
First Publication Date 2020-05-07
Owner NETFLIX, INC. (USA)
Inventor
  • Ciuca, Bogdan Joseph
  • Casparro, Tony James
  • Grunewald, Corey James
  • Jaquish, Matthew Jeffrey

Abstract

A computer-implemented method of displaying video content includes, based on an input to transition playback of a video content item from a first media player that is instantiated in a user interface to a second media player that is instantiated in the user interface, determining a current value of a first state descriptor associated with the first media player; setting a value of a second state descriptor associated with the second media player to match the current value of the first state descriptor; and after setting the value of the second state descriptor, causing the second media player to begin playback of the video content item, wherein the second media player begins playing the video content item based on the value of the second state descriptor.

IPC Classes  ?

  • H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
  • H04N 21/431 - Generation of visual interfaces; Content or additional data rendering
  • H04N 21/482 - End-user interface for program selection
  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/485 - End-user interface for client configuration
  • H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream

69.

SCENE AND SHOT DETECTION AND CHARACTERIZATION

      
Application Number 16736808
Status Pending
Filing Date 2020-01-07
First Publication Date 2020-05-07
Owner Netflix, Inc. (USA)
Inventor Kansara, Apurvakumar Dilipkumar

Abstract

A method includes receiving, with a computing system, a video item. The method further includes identifying a first set of features within a first frame of the video item. The method further includes identifying, with the computing system, a second set of features within a second frame of the video item, the second frame being subsequent to the first frame. The method further includes determining, with the computing system, differences between the first set of features and the second set of features. The method further includes assigning a clip category to a clip extending between the first frame and the second frame based on the differences.

IPC Classes  ?

  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
  • H04N 21/8549 - Creating video summaries, e.g. movie trailer
  • G06F 16/738 - Presentation of query results
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

70.

TECHNIQUES FOR RECOMMENDING ITEMS TO USERS

      
Application Number US2019058742
Publication Number 2020/092488
Status In Force
Filing Date 2019-10-30
Publication Date 2020-05-07
Owner NETFLIX, INC. (USA)
Inventor Steck, Harald

Abstract

In various embodiments, a training application generates a preference prediction model based on an interaction matrix and a closed-form solution for minimizing a Lagrangian. The interaction matrix reflects interactions between users and items, and the Lagrangian is formed based on a constrained optimization problem associated with the interaction matrix. A service application generates a first application interface that is to be presented to the user. The service application computes predicted score(s) using the preference prediction model, where each predicted score predicts a preference of the user for a different item. The service application then determines a first item from the items to present to the user via an interface element included in the application interface. Subsequently, the service application causes a representation of the first item to be displayed via the interface element included in the application interface.

IPC Classes  ?

71.

TECHNIQUES FOR ENCODING A MEDIA TITLE VIA MULTIPLE ENCODERS

      
Application Number US2019059520
Publication Number 2020/092994
Status In Force
Filing Date 2019-11-01
Publication Date 2020-05-07
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

In various embodiments, a subsequence-based encoding application generates subsequences based on a source sequence associated with a media title. The subsequence-based encoding application then encodes both a first subsequence and a second subsequence across each of multiple configured encoders and at least one rate control value to generate, respectively, a first set of encoded subsequences and a second set of encoded subsequences. Notably, each configured encoder is associated with a combination of an encoder and a configuration, and at least two configured encoders are different from one another. Subsequently, the subsequence-based encoding application generates encoded media sequences based on the first set of encoded subsequences and the second set of encoded subsequences. Finally, the application selects a first encoded media sequence from the encoded media sequences based on a first target value for a media metric to subsequently stream to a first endpoint device during playback of the media title.

IPC Classes  ?

  • H04N 21/23 - Processing of content or additional data; Elementary server operations; Server middleware
  • H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
  • H04N 21/854 - Content authoring

72.

VIDEO PLAYBACK IN AN ONLINE STREAMING ENVIRONMENT

      
Application Number US2019059527
Publication Number 2020/092999
Status In Force
Filing Date 2019-11-01
Publication Date 2020-05-07
Owner NETFLIX, INC. (USA)
Inventor
  • Ciuca, Bogdan Joseph
  • Casparro, Tony James
  • Grunewald, Corey James
  • Jaquish, Matthew Jeffrey

Abstract

A computer-implemented method of displaying video content includes, based on an input to transition playback of a video content item from a first media player that is instantiated in a user interface to a second media player that is instantiated in the user interface, determining a current value of a first state descriptor associated with the first media player; setting a value of a second state descriptor associated with the second media player to match the current value of the first state descriptor; and after setting the value of the second state descriptor, causing the second media player to begin playback of the video content item, wherein the second media player begins playing the video content item based on the value of the second state descriptor.

IPC Classes  ?

  • H04N 21/485 - End-user interface for client configuration
  • H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content

73.

Global recommendation systems for overlapping media catalogs

      
Application Number 16732088
Grant Number 10885093
Status In Force
Filing Date 2019-12-31
First Publication Date 2020-04-30
Grant Date 2021-01-05
Owner Netflix, Inc. (USA)
Inventor
  • Todd, Michael
  • Elahi, Ehtsham
  • Fenton, Aish
  • Gomez-Uribe, Carlos A.

Abstract

An apparatus for minimizing installation footprints of expansion cards may include one or more expansion cards that include a short edge, a long edge that is longer than the short edge and is substantially perpendicular to the short edge, and an edge connector disposed on the short edge. The apparatus may also include an expansion-card frame dimensioned to 1) guide an expansion card toward a printed circuit board of a computing device at a substantially vertical orientation such that the short edge of the expansion card is disposed proximate the printed circuit board of the computing device and the long edge of the expansion card extends away from the printed circuit board and 2) removably couple the edge connector disposed on the short edge of the expansion card to the printed circuit board of the computing device. Various other apparatuses, systems, and methods are also disclosed.

IPC Classes  ?

  • G06F 16/435 - Filtering based on additional data, e.g. user or group profiles
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
  • G06F 16/9535 - Search customisation based on user profiles and personalisation
  • G06F 16/2457 - Query processing with adaptation to user needs

74.

ADAPTIVE METRIC COLLECTION, STORAGE, AND ALERT THRESHOLDS

      
Application Number 16701065
Status Pending
Filing Date 2019-12-02
First Publication Date 2020-04-02
Owner NETFLIX, INC. (USA)
Inventor
  • Rapoport, Roy
  • Pitman, Brent
  • Harrington, Brian
  • Muino, Daniel

Abstract

Techniques for adaptive metric collection, metric storage, and alert thresholds are described. In an approach, a metric collector computer processes metrics as a collection of key/value pairs. The key/value pairs represent the dimensionality of the metrics and allows for semantic queries on the metrics based on keys. In an approach, a storage controller computer maintains a storage system with multiple storage tiers ranked by speed of access. The storage computer stores policy data that specifies the rules by which metric records are stored across the multiple storage tiers. Periodically, the storage computer moves database records to higher or lower tiers based on the policy data. In an approach, a metric collector in response to receiving a new metric, generates a predicted metric value based on previously recorded metric values and measures the deviation from the new metric value to determine whether an alert is appropriate.

IPC Classes  ?

  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
  • G06F 11/00 - Error detection; Error correction; Monitoring
  • G06F 11/32 - Monitoring with visual indication of the functioning of the machine
  • G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
  • H04L 12/24 - Arrangements for maintenance or administration

75.

DYNAMICALLY ADJUSTING TEXT STRINGS BASED ON MACHINE TRANSLATION FEEDBACK

      
Document Number 03102012
Status Pending
Filing Date 2019-08-01
Open to Public Date 2020-03-19
Owner NETFLIX, INC. (USA)
Inventor
  • Brandall, Tim
  • Xu, Shawn

Abstract

The disclosed computer-implemented method may include accessing a string of text that includes characters written in a first language. The method may next include translating the text string into different languages using machine translation The method may next include identifying, among the translated text strings, a shortest string and a longest string. The method may also include calculating a customized string length adjustment ratio for adjusting the length of the accessed text string based on the shortest translated string length and the longest translated string length. Furthermore, the method may include dynamically applying the calculated customized string length adjustment ratio to the accessed text string, so that the length of the accessed text string may be dynamically adjusted according to the customized string length adjustment ratio. The method may also include presenting the adjusted text string in the user interface. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G06F 40/106 - Display of layout of documents; Previewing
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06F 40/58 - Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation

76.

SOFTWARE DEPENDENCY SHADING

      
Application Number 16693187
Status Pending
Filing Date 2019-11-22
First Publication Date 2020-03-19
Owner NETFLIX, INC. (USA)
Inventor
  • Schneider, Jonathan
  • Thomas, Daniel
  • Spieldenner, Robert
  • Mcgarr, Michael

Abstract

In one embodiment of the present invention, a shading engine enables multiple versions of dependencies to coexist in an executable software application. During the software build process, the shading engine dynamically renames transitive dependencies of the software application to disambiguated names. The shading engine performs this renaming at both the library and class level. Notably, the shading engine does not rename the first-order dependencies of the software application. Consequently, the code of the software application and interfaces between the software application and the first-order library dependencies of the software application are not modified. Notably, the shading engine efficiently and accurately shades the transitive dependencies without manual intervention. By contrast, primarily manually-based conventional approaches to dependency management are time consuming and susceptible to errors.

IPC Classes  ?

  • G06F 8/75 - Structural analysis for program understanding
  • G06F 8/71 - Version control ; Configuration management
  • G06F 8/72 - Code refactoring
  • G06F 8/54 - Link editing before load time
  • G06F 8/30 - Creation or generation of source code

77.

DYNAMICALLY ADJUSTING TEXT STRINGS BASED ON MACHINE TRANSLATION FEEDBACK

      
Application Number US2019044740
Publication Number 2020/055521
Status In Force
Filing Date 2019-08-01
Publication Date 2020-03-19
Owner NETFLIX, INC. (USA)
Inventor
  • Brandall, Tim
  • Xu, Shawn

Abstract

The disclosed computer-implemented method may include accessing a string of text that includes characters written in a first language. The method may next include translating the text string into different languages using machine translation. The method may next include identifying, among the translated text strings, a shortest string and a longest string. The method may also include calculating a customized string length adjustment ratio for adjusting the length of the accessed text string based on the shortest translated string length and the longest translated string length. Furthermore, the method may include dynamically applying the calculated customized string length adjustment ratio to the accessed text string, so that the length of the accessed text string may be dynamically adjusted according to the customized string length adjustment ratio. The method may also include presenting the adjusted text string in the user interface. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

78.

IDENTIFYING SIMILAR ITEMS BASED ON GLOBAL INTERACTION HISTORY

      
Application Number 16681730
Status Pending
Filing Date 2019-11-12
First Publication Date 2020-03-12
Owner NETFLIX, INC. (USA)
Inventor
  • Uribe, Carlos Alberto Gomez
  • Bharadwaj, Vijay

Abstract

One embodiment sets forth technique for computing a similarity score between two digital items is computed based on interaction histories associated with global users and interaction histories associated with local users. Global counts indicating the number of interactions associated with each unique pair of digital items are weighted based on a mixing rate. The weighted global counts are then combined with local counts to compute total counts. An effective interaction probability indicating the likelihood of a user interacting with one digital item in the pair of digital items after interacting with the other digital item in the pair is computed based on the total counts. The effective interaction probability is then corrected for noise, resulting in a similarity score indicating the similarity between the pair of digital items.

IPC Classes  ?

  • G06Q 30/02 - Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination

79.

ON-DEVICE MULTIPLEXING OF STREAMING MEDIA CONTENT

      
Application Number 16687568
Status Pending
Filing Date 2019-11-18
First Publication Date 2020-03-12
Owner NETFLIX, INC. (USA)
Inventor
  • Ronca, David Randall
  • Wu, Chung-Ping
  • Lai, Yung-Hsiao

Abstract

Techniques are disclosed for multiplexing a dynamic bit-rate video stream with an audio stream received by a client device in a manner that allows the resulting multiplexed stream to be played back without disruption, despite dynamic changes in the bit rate of the video stream that may occur. A content server may stream both a video stream and an audio stream to a client device for playback. The client device may multiplex the video and audio streams prior to them being presented to a playback engine for decoding and playback to a user.

IPC Classes  ?

  • H04N 19/167 - Position within a video image, e.g. region of interest [ROI]
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04N 19/46 - Embedding additional information in the video signal during the compression process
  • H04N 21/4402 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
  • H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video stream; Remultiplexing of multiplex streams; Insertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rate; Assembling of a packetised elementary stream
  • H04N 21/434 - Disassembling of a multiplex stream, e.g. demultiplexing audio and video streams or extraction of additional data from a video stream; Remultiplexing of multiplex streams; Extraction or processing of SI; Disassembling of packetised elementary stream
  • H04N 21/432 - Content retrieval operation from a local storage medium, e.g. hard-disk
  • H04N 21/2662 - Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 19/177 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a group of pictures [GOP]
  • H04N 19/164 - Feedback from the receiver or from the transmission channel
  • H04N 19/61 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
  • H04N 19/115 - Selection of the code volume for a coding unit prior to coding
  • H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabi
  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/2368 - Multiplexing of audio and video streams

80.

Modular device connector

      
Application Number 16457564
Grant Number 10582633
Status In Force
Filing Date 2019-06-28
First Publication Date 2020-03-03
Grant Date 2020-03-03
Owner Netflix, Inc. (USA)
Inventor
  • Villarico, Denzil
  • Davis, Marcus
  • Phelps, Justin

Abstract

The disclosed apparatus may include a rack-side support structure dimensioned to hold a two-sided port interface with a rack-side mating end and an adapter-side mating end. The rack-side mating end may be configured to interface with supply cables, and the adapter-side mating end may be configured to interface with an opposite adapter-side mating end of another port interface. The apparatus may also include a device-side support structure dimensioned to hold a two-sided port interface including an opposing adapter-side mating end and a device-side mating end. The opposing adapter-side mating end may be configured to interface with the adapter-side mating end of the rack-side's port interface, and the device-side mating end may interface with cables that connect to the electronic devices. The rack-side support structure may be configured to interlock with the device-side support structure to connect to the electronic devices. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • H05K 7/14 - Mounting supporting structure in casing or on frame or rack
  • G06F 1/18 - Packaging or power distribution

81.

DYNAMIC TOPOLOGY GENERATION FOR BRANCHING NARRATIVES

      
Application Number 16048174
Status Pending
Filing Date 2018-07-27
First Publication Date 2020-01-30
Owner NETFLIX, INC. (USA)
Inventor
  • Cheung, Maxine
  • Watson, Mark
  • Fisher, Carla Christine
  • Lee, Kevin Pei-Wen
  • Raimond, Yves

Abstract

A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.

IPC Classes  ?

  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/8545 - Content authoring for generating interactive applications
  • H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
  • H04N 21/475 - End-user interface for inputting end-user data, e.g. PIN [Personal Identification Number] or preference data
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs

82.

DYNAMIC TOPOLOGY GENERATION FOR BRANCHING NARRATIVES

      
Application Number US2019042655
Publication Number 2020/023315
Status In Force
Filing Date 2019-07-19
Publication Date 2020-01-30
Owner NETFLIX, INC. (USA)
Inventor
  • Cheung, Maxine
  • Watson, Mark
  • Fisher, Carla Christine
  • Lee, Kevin Pei-Wen
  • Raimond, Yves

Abstract

A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/4725 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content using interactive regions of the image, e.g. hot spots
  • H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk

83.

DYNAMIC TOPOLOGY GENERATION FOR BRANCHING NARRATIVES

      
Application Number US2019043407
Publication Number 2020/023730
Status In Force
Filing Date 2019-07-25
Publication Date 2020-01-30
Owner NETFLIX, INC. (USA)
Inventor
  • Cheung, Maxine
  • Watson, Mark
  • Fisher, Carla, Christine
  • Lee, Kevin, Pei-Wen
  • Raimond, Yves

Abstract

A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.

IPC Classes  ?

  • H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/8545 - Content authoring for generating interactive applications

84.

DYNAMIC TOPOLOGY GENERATION FOR BRANCHING NARRATIVES

      
Application Number 16048171
Status Pending
Filing Date 2018-07-27
First Publication Date 2020-01-30
Owner NETFLIX, INC. (USA)
Inventor
  • Cheung, Maxine
  • Watson, Mark
  • Fisher, Carla Christine
  • Lee, Kevin Pei-Wen
  • Raimond, Yves

Abstract

A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.

IPC Classes  ?

  • H04N 21/8541 - Content authoring involving branching, e.g. to different story endings
  • H04N 21/8545 - Content authoring for generating interactive applications
  • H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
  • H04N 21/475 - End-user interface for inputting end-user data, e.g. PIN [Personal Identification Number] or preference data

85.

DIFFERENCING ENGINE FOR DIGITAL FORENSICS

      
Application Number 16514687
Status Pending
Filing Date 2019-07-17
First Publication Date 2020-01-23
Owner NETFLIX, INC. (USA)
Inventor
  • Monsen, Forest
  • Glisson, Kevin

Abstract

In various embodiments, a forensic scoping application analyzes host instances in order to detect anomalies. The forensic scoping application acquires a snapshot for each host instance included in an instance group. Each snapshot represents a current operational state of the associated host instance. Subsequently, the forensic scoping application performs clustering operation(s) based on the snapshots to generate a set of clusters. The forensic scoping application determines that a first cluster in the set of clusters is associated with fewer host instances than at least a second cluster in the set of clusters. Based on the first cluster, the forensic scoping application determines that a first host instance included in the instance group is operating in an anomalous fashion. Advantageously, efficiently determining host instances that are operating in an anomalous fashion during a security attack can reduce the amount of damage caused by the security attack.

IPC Classes  ?

86.

SHOT-BASED VIEW FILES FOR TRICK PLAY MODE IN A NETWORK-BASED VIDEO DELIVERY SYSTEM

      
Application Number 16040014
Status Pending
Filing Date 2018-07-19
First Publication Date 2020-01-23
Owner NETFLIX, INC. (USA)
Inventor
  • Mavlankar, Aditya
  • Katsavounidis, Ioannis

Abstract

A computer-implemented method includes receiving a request from a client computing device for a first shot included in a media title being streamed to the client computing device for playback; in response to the request, sending the first shot to the client computing device for playback; and sending a representative image for at least one of the first shot and a second shot included in the media title, wherein the first shot comprises a first sequence of video frames that is included in the media title and captured continuously from a first point of capture, and the second shot comprises a second sequence of video frames that is included in the media title and captured continuously from a second point of capture.

IPC Classes  ?

  • H04N 21/6587 - Control parameters, e.g. trick play commands or viewpoint selection
  • H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
  • H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
  • G06F 17/30 - Information retrieval; Database structures therefor
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

87.

TECHNIQUES FOR DETERMINING AN UPPER BOUND ON VISUAL QUALITY OVER A COMPLETED STREAMING SESSION

      
Application Number US2019041889
Publication Number 2020/018465
Status In Force
Filing Date 2019-07-15
Publication Date 2020-01-23
Owner NETFLIX, INC. (USA)
Inventor
  • Li, Zhi
  • Huang, Te-Yuan

Abstract

In various embodiments, a hindsight application computes a hindsight metric value for evaluation of a video rate selection algorithm. The hindsight application determines a first encoding option associated with a source chunk of a media title based on a network throughput trace and a buffer trellis. The hindsight application determines that the first encoding option is associated with a buffered duration range. The buffered duration range is also associated with a second encoding option that is stored in the buffer trellis. After determining that the first encoding option is associated with a higher visual quality than the second encoding option, the hindsight application stores the first encoding option instead of the second encoding option in the buffer trellis to generate a modified buffer trellis. Finally, the hindsight application computes a hindsight metric value associated with a sequence of encoded chunks of the media title based on the modified buffer trellis.

IPC Classes  ?

  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs

88.

SHOT-BASED VIEW FILES FOR TRICK PLAY MODE IN A NETWORK-BASED VIDEO DELIVERY SYSTEM

      
Application Number US2019042155
Publication Number 2020/018639
Status In Force
Filing Date 2019-07-17
Publication Date 2020-01-23
Owner NETFLIX, INC. (USA)
Inventor
  • Mavlankar, Aditya
  • Katsavounidis, Ioannis

Abstract

A computer-implemented method includes receiving a request from a client computing device for a first shot included in a media title being streamed to the client computing device for playback; in response to the request, sending the first shot to the client computing device for playback; and sending a representative image for at least one of the first shot and a second shot included in the media title, wherein the first shot comprises a first sequence of video frames that is included in the media title and captured continuously from a first point of capture, and the second shot comprises a second sequence of video frames that is included in the media title and captured continuously from a second point of capture.

IPC Classes  ?

  • G11B 27/10 - Indexing; Addressing; Timing or synchronising; Measuring tape travel
  • H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
  • H04N 21/6587 - Control parameters, e.g. trick play commands or viewpoint selection
  • G11B 27/00 - Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel

89.

DIFFERENCING ENGINE FOR DIGITAL FORENSICS

      
Application Number US2019042285
Publication Number 2020/018719
Status In Force
Filing Date 2019-07-17
Publication Date 2020-01-23
Owner NETFLIX, INC. (USA)
Inventor
  • Monsen, Forest
  • Glisson, Kevin

Abstract

In various embodiments, a forensic scoping application analyzes host instances in order to detect anomalies. The forensic scoping application acquires a snapshot for each host instance included in an instance group. Each snapshot represents a current operational state of the associated host instance. Subsequently, the forensic scoping application performs clustering operation(s) based on the snapshots to generate a set of clusters. The forensic scoping application determines that a first cluster in the set of clusters is associated with fewer host instances than at least a second cluster in the set of clusters. Based on the first cluster, the forensic scoping application determines that a first host instance included in the instance group is operating in an anomalous fashion. Advantageously, efficiently determining host instances that are operating in an anomalous fashion during a security attack can reduce the amount of damage caused by the security attack.

IPC Classes  ?

  • G06F 21/56 - Computer malware detection or handling, e.g. anti-virus arrangements
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • G06N 20/00 - Machine learning

90.

TECHNIQUES FOR DETERMINING AN UPPER BOUND ON VISUAL QUALITY OVER A COMPLETED STREAMING SESSION

      
Application Number 16036600
Status Pending
Filing Date 2018-07-16
First Publication Date 2020-01-16
Owner NETFLIX, INC. (USA)
Inventor
  • Li, Zhi
  • Huang, Te-Yuan

Abstract

In various embodiments, a hindsight application computes a hindsight metric value for evaluation of a video rate selection algorithm. The hindsight application determines a first encoding option associated with a source chunk of a media title based on a network throughput trace and a buffer trellis. The hindsight application determines that the first encoding option is associated with a buffered duration range. The buffered duration range is also associated with a second encoding option that is stored in the buffer trellis. After determining that the first encoding option is associated with a higher visual quality than the second encoding option, the hindsight application stores the first encoding option instead of the second encoding option in the buffer trellis to generate a modified buffer trellis. Finally, the hindsight application computes a hindsight metric value associated with a sequence of encoded chunks of the media title based on the modified buffer trellis.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol

91.

TEMPORAL PLACEMENT OF A REBUFFERING EVENT

      
Application Number 16536298
Status Pending
Filing Date 2019-08-08
First Publication Date 2020-01-02
Owner Netflix, Inc. (USA)
Inventor
  • Katsavounidis, Ioannis
  • Watson, Mark
  • Hipple, Aaron
  • Wolcott, Will

Abstract

A method includes receiving, with a computing system, data representing a video item into a buffer. The method further includes outputting the video item from the buffer to a display system. The method further includes determining that utilization of the buffer falls below a predetermined threshold. The method further includes, in response to determining that the utilization of the buffer falls below the predetermined threshold, determining that there is a specified rebuffering point within a predetermined time frame. The method further includes pausing with the computing system, the video item at the specified rebuffering point in response to determining that there is the specified rebuffering point within the predetermined time frame.

IPC Classes  ?

  • H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
  • H04N 21/432 - Content retrieval operation from a local storage medium, e.g. hard-disk
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
  • H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations

92.

FEATURE GENERATION FOR ONLINE/OFFLINE MACHINE LEARNING

      
Application Number 16557558
Status Pending
Filing Date 2019-08-30
First Publication Date 2019-12-26
Owner Netflix, Inc. (USA)
Inventor
  • Taghavi, Mohammad Hossein
  • Padmanabhan, Prasanna
  • Tsai, Dong-Bang
  • Siddiqi, Faisal Zakaria
  • Basilico, Justin Derrick

Abstract

A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • G06N 5/04 - Inference methods or devices
  • G06N 20/00 - Machine learning

93.

COMPARING VIDEO ENCODERS/DECODERS USING SHOT-BASED ENCODING AND A PERCEPTUAL VISUAL QUALITY METRIC

      
Application Number 16543476
Status Pending
Filing Date 2019-08-16
First Publication Date 2019-12-12
Owner NETFLIX, INC. (USA)
Inventor
  • Katsavounidis, Ioannis
  • Guo, Liwei

Abstract

In various embodiments, an encoder comparison application compares the performance of different configured encoders. In operation, the encoder comparison application generates a first global convex hull of video encode points based on a first configured encoder and a set of subsequences included in a source video sequence. Each video encode point is associated with a different encoded version of the source video sequence. The encoder comparison application also generates a second global convex hull of video encode points based on a second configured encoder and the subsequences. Subsequently, the encoder configuration application computes a performance value for an encoding comparison metric based on the first global convex hull and the second global convex hull. Notably, the first performance value estimates a difference in performance between the first configured encoder and the second configured encoder.

IPC Classes  ?

  • H04N 19/196 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters
  • H04N 19/85 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression

94.

TECHNIQUES FOR EFFICIENTLY ACCESSING VALUES SPANNING SLABS OF MEMORY

      
Application Number 16540020
Status Pending
Filing Date 2019-08-13
First Publication Date 2019-12-05
Owner NETFLIX, INC. (USA)
Inventor Koszewnik, John Andrew

Abstract

In various embodiments, a memory pool application implements composite arrays via a memory pool that includes a first slab and a second slab. First, the memory pool application assigns the first slab and the second slab to a composite array. The memory pool application then modifies a final data word included in the first slab to store a first portion of a specified value and a leading data word included in the second slab to store a second portion of the specified value. The memory pool application copies the second data word to a duplicate data word included in the first slab. Subsequently, the memory pool application performs an unaligned read operation on the first slab based on a specified offset to retrieve a first word stored in memory and extracts the specified value from the first word based on the specified offset and a specified number of bits.

IPC Classes  ?

  • G06F 3/06 - Digital input from, or digital output to, record carriers
  • G06F 13/14 - Handling requests for interconnection or transfer
  • G06F 12/00 - Accessing, addressing or allocating within memory systems or architectures

95.

Techniques for evaluating a video rate selection algorithm based on a greedy optimization of total download size over a completed streaming session

      
Application Number 16036606
Grant Number 10862942
Status In Force
Filing Date 2018-07-16
First Publication Date 2019-11-28
Grant Date 2020-12-08
Owner NETFLIX, INC. (USA)
Inventor
  • Huang, Te-Yuan
  • Ekanadham, Chaitanya
  • Berglund, Andrew J.
  • Li, Zhi

Abstract

In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

IPC Classes  ?

  • G06F 13/00 - Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 12/26 - Monitoring arrangements; Testing arrangements

96.

Online techniques for parameter mean and variance estimation in dynamic regression models

      
Application Number 16532263
Grant Number 10887210
Status In Force
Filing Date 2019-08-05
First Publication Date 2019-11-28
Grant Date 2021-01-05
Owner Netflix, Inc. (USA)
Inventor Gomez-Uribe, Carlos A.

Abstract

A system of assessing deployments in a network-based media system is provided herein. The system includes a data storage system storing observation vectors, each observation vector being associated with an outcome indicator, and a processing device in communication with the data storage system to receive and store observation vectors and associated outcome indicators. The processing device performs operations including communicating with an endpoint device of a user to obtain information associated with the endpoint device; and transmitting an instance of a variable user interface to the endpoint device for presentation to the user via the endpoint device based on the stored observation vectors, the stored associated outcome indicators, and the obtained information associated with the endpoint device. Related systems and methods are also disclosed.

IPC Classes  ?

  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • G06Q 30/02 - Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

97.

TECHNIQUES FOR EVALUATING A VIDEO RATE SELECTION ALGORITHM OVER A COMPLETED STREAMING SESSION

      
Document Number 03099935
Status Pending
Filing Date 2019-05-17
Open to Public Date 2019-11-28
Owner NETFLIX, INC. (USA)
Inventor
  • Huang, Te-Yuan
  • Ekanadham, Chaitanya
  • Berglund, Andrew J.
  • Li, Zhi

Abstract

In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

IPC Classes  ?

  • H04N 19/184 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being bits, e.g. of the compressed video stream
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

98.

TECHNIQUES FOR EVALUATING A VIDEO RATE SELECTION ALGORITHM OVER A COMPLETED STREAMING SESSION

      
Application Number US2019032863
Publication Number 2019/226481
Status In Force
Filing Date 2019-05-17
Publication Date 2019-11-28
Owner NETFLIX, INC. (USA)
Inventor
  • Huang, Te-Yuan
  • Ekanadham, Chaitanya
  • Berglund, Andrew J.
  • Li, Zhi

Abstract

In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

IPC Classes  ?

  • H04N 19/184 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being bits, e.g. of the compressed video stream
  • H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

99.

SCALABLE AND REAL-TIME ANOMALY DETECTION

      
Application Number US2019032311
Publication Number 2019/222287
Status In Force
Filing Date 2019-05-14
Publication Date 2019-11-21
Owner NETFLIX, INC. (USA)
Inventor
  • Gonigberg, Arthur
  • Cohen, Michael Lloyd
  • Joshi, Neeraj
  • Rioux, Cody Mitchell

Abstract

Various embodiments of the disclosure disclosed herein provide techniques for detecting anomalies across one or more components within a distributed computing system, according to various embodiments of the present disclosure. An anomaly detection system retrieves event data associated with a real-time stream of events generated by one or more components within a distributed computing system. The anomaly detection system computes a failure metric based on the event data. The anomaly detection system determines that the failure metric exceeds a dynamically adjustable trigger condition. The anomaly detection system generates an alert associated with the failure metric.

IPC Classes  ?

  • G06F 9/4401 - Bootstrapping
  • G06F 11/36 - Preventing errors by testing or debugging of software
  • G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
  • G06F 9/54 - Interprogram communication

100.

Relationship-based search and recommendations via authenticated negatives

      
Application Number 14546859
Grant Number 10482519
Status In Force
Filing Date 2014-11-18
First Publication Date 2019-11-19
Grant Date 2019-11-19
Owner NETFLIX, INC. (USA)
Inventor Bharadwaj, Vijay

Abstract

One embodiment of the present invention sets forth techniques for generating recommendation sets for a first client device. A recommendation system receives, from the first client device, a first selection of a first recommended item included in a plurality of recommended items. The recommendation system identifies a second recommended item included in the plurality of recommended items that has not been selected. The recommendation system retrieves an authenticated negative item from a plurality of authenticated negative items. The recommendation system stores one or more entries in a log file comprising a plurality of entries, based on at least one of the first recommended item, the second recommended item, and the authenticated negative item. One advantage of the disclosed techniques is that the use of authenticated negative examples, also referred to herein as authenticated negative items, provides a more relevant set of recommendations for the user.

IPC Classes  ?

  • G06Q 30/06 - Buying, selling or leasing transactions
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • G06F 16/9535 - Search customisation based on user profiles and personalisation
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