Netflix, Inc.

United States of America

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IPC Class
H04L 29/06 - Communication control; Communication processing characterised by a protocol 101
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure 65
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs 35
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 32
H04L 12/26 - Monitoring arrangements; Testing arrangements 32
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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.

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

4.

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

5.

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

6.

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

7.

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  ?

8.

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

9.

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  ?

10.

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

11.

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

12.

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

13.

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

14.

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

15.

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

16.

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

17.

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

18.

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

19.

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

20.

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

21.

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

22.

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

23.

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

24.

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

25.

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

26.

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

27.

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

28.

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

29.

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

30.

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

31.

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

32.

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

33.

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

34.

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

35.

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

36.

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

37.

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

38.

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

39.

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  ?

40.

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

41.

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

42.

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

43.

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

44.

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

45.

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

46.

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

47.

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

48.

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

49.

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

50.

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  ?

51.

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

52.

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

53.

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

54.

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

55.

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

56.

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

57.

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

58.

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

59.

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

60.

ADVANCED METADATA PROXY

      
Application Number 16402210
Status Pending
Filing Date 2019-05-02
First Publication Date 2019-11-14
Owner Netflix, Inc. (USA)
Inventor Bengtson, William

Abstract

The disclosed computer-implemented method may include establishing a header policy that is to be applied at a metadata proxy. The header policy may indicate that specified header information is to be included in each metadata service request sent to a metadata service. The method may also include accessing the established header policy at the metadata proxy, where the metadata proxy is configured to intercept metadata service requests and check the intercepted requests for the specified header information. The method may further include determining, at the metadata proxy, that the metadata service request does not include the specified header information and, in response to the determination, preventing the metadata service request from being passed to the metadata service. 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 29/08 - Transmission control procedure, e.g. data link level control procedure

61.

MULTILAYERED APPROACH TO PROTECTING CLOUD CREDENTIALS

      
Application Number 16393958
Status Pending
Filing Date 2019-04-25
First Publication Date 2019-11-14
Owner Netflix, Inc. (USA)
Inventor Bengtson, William

Abstract

The disclosed computer-implemented method may include mapping an internal network to identify various nodes of the internal network. The method may further include determining where at least some of the internal network nodes identified in the mapping are located. The method may also include receiving a request for metadata service information from an application hosted on a cloud server instance. The method may then include providing a response to the received request for metadata service information if the determined location of the requesting node is approved or preventing a response to the received request for metadata service information if the determined location of the requesting node is not approved. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

  • G06F 21/45 - Structures or tools for the administration of authentication
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol

62.

DETECTING CREDENTIAL COMPROMISE IN A CLOUD RESOURCE

      
Application Number 16402213
Status Pending
Filing Date 2019-05-02
First Publication Date 2019-11-14
Owner Netflix, Inc. (USA)
Inventor
  • Bengtson, William
  • Behrens, Scott
  • Mcpeak, Travis

Abstract

The disclosed computer-implemented method may include initializing a server instance using a specified network address and an associated set of credentials, logging the network address of the initialized server instance as well as the associated set of credentials in a data log, analyzing network service requests to determine that a different server instance with a different network address is requesting a network service using the same set of credentials, accessing the data log to determine whether the second server instance is using a network address that is known to be valid within the network and, upon determining that the second server instance is not using a known network address, preventing the second server instance from performing specified tasks within the network. Various other methods, systems, and computer-readable media are also disclosed.

IPC Classes  ?

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

63.

SCALABLE AND REAL-TIME ANOMALY DETECTION

      
Application Number 16410867
Status Pending
Filing Date 2019-05-13
First Publication Date 2019-11-14
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  ?

  • H04L 12/24 - Arrangements for maintenance or administration
  • H04L 12/26 - Monitoring arrangements; Testing arrangements

64.

TECHNIQUES FOR SCHEDULED ANTI-ENTROPY REPAIR DESIGN

      
Application Number 16367069
Status Pending
Filing Date 2019-03-27
First Publication Date 2019-10-03
Owner NETFLIX, INC. (USA)
Inventor
  • Chella, Vinay
  • Lynch, Joseph
  • Upadhyay, Ajay

Abstract

Various embodiments of the invention disclosed herein provide techniques for performing distributed anti-entropy repair procedures across a plurality of nodes in a distributed database network. A node included in a plurality of nodes within the distributed database network determines, before all other nodes included in the plurality of nodes, that a first anti-entropy repair procedure has ended. The node determines that a second anti-entropy repair procedure is ready to begin. The node generates a schedule for executing one or more operations associated with the second anti-entropy repair procedure. The node writes the schedule to a shared repair schedule data structure to initiate the second anti-entropy repair procedure across multiple nodes included in the plurality of nodes. Each of the nodes included in the plurality of nodes then performs a node repair based on the schedule.

IPC Classes  ?

  • G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance

65.

QUANTIFYING PERCEPTUAL QUALITY MODEL UNCERTAINTY VIA BOOTSTRAPPING

      
Application Number 16352755
Status Pending
Filing Date 2019-03-13
First Publication Date 2019-09-26
Owner NETFLIX, INC. (USA)
Inventor
  • Bampis, Christos
  • Li, Zhi
  • Sharan, Lavanya
  • Novak, Julie
  • Tingley, Martin

Abstract

In various embodiments, a bootstrapping training subsystem performs sampling operation(s) on a training database that includes subjective scores to generate resampled dataset. For each resampled dataset, the bootstrapping training subsystem performs machine learning operation(s) to generate a different bootstrap perceptual quality model. The bootstrapping training subsystem then uses the bootstrap perceptual quality models to quantify the accuracy of a perceptual quality score generated by a baseline perceptual quality model for a portion of encoded video content. Advantageously, relative to prior art solutions in which the accuracy of a perceptual quality score is unknown, the bootstrap perceptual quality models enable developers and software applications to draw more valid conclusions and/or more reliably optimize encoding operations based on the perceptual quality score.

IPC Classes  ?

  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • G06T 7/00 - Image analysis

66.

QUANTIFYING ENCODING COMPARISON METRIC UNCERTAINTY VIA BOOTSTRAPPING

      
Application Number 16352757
Status Pending
Filing Date 2019-03-13
First Publication Date 2019-09-26
Owner NETFLIX, INC. (USA)
Inventor
  • Bampis, Christos
  • Li, Zhi
  • Sharan, Lavanya
  • Novak, Julie
  • Tingley, Martin

Abstract

In various embodiments, an encoding metric comparison application computes a first set of quality scores associated with a test encoding configuration based on a set of bootstrap quality models. Each bootstrap quality model is trained based on a different subset of a training database. The encoding metric comparison application computes a second set of quality scores associated with a reference encoding configuration based on the set of bootstrap quality models. Subsequently, the encoding metric comparison application generates a distribution of bootstrap values for an encoding comparison metric based on the first set of quality scores and the second set of quality scores. The distribution quantifies an accuracy of a baseline value for the encoding comparison metric generated by a baseline quality model.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion

67.

TECHNIQUES FOR DETECTING MEDIA PLAYBACK ERRORS

      
Application Number 16422903
Status Pending
Filing Date 2019-05-24
First Publication Date 2019-09-12
Owner NETFLIX, Inc. (USA)
Inventor
  • Turmel, Frederic
  • Newell, Nicholas

Abstract

An endpoint device outputs frames of test media during a testing procedure. Each frame of test media includes a test pattern. A test module coupled to the endpoint device samples the test pattern and transmits sample data to a media test engine. The media test engine decodes a binary number from the test pattern and then converts the binary number to an integer value that is associated with the corresponding frame. The media test engine then analyzes sequences of these integer values to identify playback errors associated with the endpoint device.

IPC Classes  ?

  • H04N 19/89 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving methods or arrangements for detection of transmission errors at the decoder
  • H04L 12/24 - Arrangements for maintenance or administration
  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • H04N 17/00 - Diagnosis, testing or measuring for television systems or their details
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04N 17/04 - Diagnosis, testing or measuring for television systems or their details for receivers

68.

EFFICIENT COMPUTER-IMPLEMENTED TECHNIQUES FOR MANAGING GRAPHICS MEMORY

      
Application Number 16389885
Status Pending
Filing Date 2019-04-19
First Publication Date 2019-08-08
Owner NETFLIX, INC. (USA)
Inventor
  • Seeley, Matthew
  • Trott, Kim
  • Mccarthy, Matthew
  • Oudyk, Dylan
  • Magnuson, Sam
  • Hanssen, Jan

Abstract

In an embodiment, a data processing method provides an improvement in efficient use of computer memory and comprises using a computer, creating in computer memory a glyph memory area that is configured to store a plurality of cached glyphs; using the computer, receiving a request from an application to use a particular glyph; in response to the request, determining whether the particular glyph is in the glyph memory area; in response to determining that the particular glyph is not in the glyph memory area: attempting to store a bitmap of the particular glyph to a next location in the glyph memory area; in response to determining that the next location is not available a first time, reclaiming space in the glyph memory area in an amount sufficient to store the bitmap; attempting a second time to store the bitmap in the next location in the glyph memory area; in response to determining that the next location is not available a second time, clearing the glyph memory area of all previously stored glyphs and storing the bitmap in the glyph memory area.

IPC Classes  ?

  • G06F 12/0875 - Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with dedicated cache, e.g. instruction or stack

69.

Techniques for modeling temporal distortions when predicting perceptual video quality

      
Application Number 15890709
Grant Number 10887602
Status In Force
Filing Date 2018-02-07
First Publication Date 2019-08-08
Grant Date 2021-01-05
Owner NETFLIX, INC. (USA)
Inventor
  • Li, Zhi
  • Bampis, Christos

Abstract

In various embodiments, a prediction application computes a quality score for re-constructed visual content that is derived from visual content. The prediction application generates a frame difference matrix based on two frames included in the re-constructed video content. The prediction application then generates a first entropy matrix based on the frame difference matrix and a first scale. Subsequently, the prediction application computes a first value for a first temporal feature based on the first entropy matrix and a second entropy matrix associated with both the visual content and the first scale. The prediction application computes a quality score for the re-constructed video content based on the first value, a second value for a second temporal feature associated with a second scale, and a machine learning model that is trained using subjective quality scores. The quality score indicates a level of visual quality associated with streamed video content.

IPC Classes  ?

  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • H04N 19/91 - Entropy coding, e.g. variable length coding [VLC] or arithmetic coding
  • H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
  • G06N 3/08 - Learning methods
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 20/20 - Ensemble learning
  • G06N 20/10 - Machine learning using kernel methods, e.g. support vector machines [SVM]
  • G06N 5/00 - Computer systems using knowledge-based models
  • H04N 17/00 - Diagnosis, testing or measuring for television systems or their details

70.

Techniques for predicting perceptual video quality based on complementary perceptual quality models

      
Application Number 15890710
Grant Number 10721477
Status In Force
Filing Date 2018-02-07
First Publication Date 2019-08-08
Grant Date 2020-07-21
Owner NETFLIX, INC. (USA)
Inventor
  • Li, Zhi
  • Bampis, Christos

Abstract

In various embodiments, an ensemble prediction application computes a quality score for re-constructed visual content that is derived from visual content. The ensemble prediction application computes a first quality score for the re-constructed video content based on a first set of values for a first set of features and a first model that associates the first set of values with the first quality score. The ensemble prediction application computes a second quality score for the re-constructed video content based on a second set of values for a second set of features and a second model that associates the second set of values with the second quality score. Subsequently, the ensemble prediction application determines an overall quality score for the re-constructed video content based on the first quality score and the second quality score. The overall quality score indicates a level of visual quality associated with streamed video content.

IPC Classes  ?

  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
  • G06N 20/20 - Ensemble learning
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/03 - Detection or correction of errors, e.g. by rescanning the pattern
  • H04N 19/136 - Incoming video signal characteristics or properties
  • G06T 7/00 - Image analysis
  • G06N 3/08 - Learning methods
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • H04N 19/91 - Entropy coding, e.g. variable length coding [VLC] or arithmetic coding

71.

Techniques for generating subtitles for trailers

      
Application Number 15875989
Grant Number 10674222
Status In Force
Filing Date 2018-01-19
First Publication Date 2019-07-25
Grant Date 2020-06-02
Owner NETFLIX, INC. (USA)
Inventor
  • Parthasarathi, Murthy
  • Wang, Yadong
  • Sekh, Boney

Abstract

In various embodiments, a subtitle application generates a subtitle list for a trailer. In operation, the subtitle application performs matching operation(s) between trailer audio associated with a trailer and source audio associated with an audiovisual program. The subtitle application then maps a subtitle associated with the source audio from a source timeline associated with the source audio to a trailer timeline associated with the trailer audio to generate a mapped subtitle. Subsequently, the subtitle application generates a trailer subtitle list based on the mapped subtitle and at least one additional mapped subtitle. Because the subtitle application generates the trailer subtitle list based on audio comparisons, the subtitle application ensures that the proper subtitles are included in the trailer subtitle list without requiring a subtitler to view the trailer.

IPC Classes  ?

  • H04N 5/93 - Regeneration of the television signal or of selected parts thereof
  • G11B 27/00 - Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
  • H04N 21/485 - End-user interface for client configuration
  • G06F 16/432 - Query formulation
  • G11B 27/031 - Electronic editing of digitised analogue information signals, e.g. audio or video signals
  • G11B 27/34 - Indicating arrangements
  • H04N 21/233 - Processing of audio elementary streams
  • H04N 21/488 - Data services, e.g. news ticker
  • H04N 21/8547 - Content authoring involving timestamps for synchronizing content
  • H04N 21/8549 - Creating video summaries, e.g. movie trailer
  • H04N 9/80 - Transformation of the television signal for recording, e.g. modulation, frequency changing; Inverse transformation for playback

72.

Personalized Markov chains

      
Application Number 14826074
Grant Number 10360508
Status In Force
Filing Date 2015-08-13
First Publication Date 2019-07-23
Grant Date 2019-07-23
Owner NETFLIX, INC. (USA)
Inventor
  • Gomez-Uribe, Carlos
  • Bharadwaj, Vijay
  • Molins Jiménez, Antonio

Abstract

A data processing method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.

IPC Classes  ?

  • G06N 7/00 - Computer systems based on specific mathematical models
  • G06N 5/02 - Knowledge representation

73.

Modifying subtitles to reflect changes to audiovisual programs

      
Application Number 15865173
Grant Number 10419828
Status In Force
Filing Date 2018-01-08
First Publication Date 2019-07-11
Grant Date 2019-09-17
Owner NETFLIX, INC. (USA)
Inventor
  • Parthasarathi, Murthy
  • Zahran, Ghaida
  • Shah, Devang
  • Swan, Andrew
  • Mack, Thomas E.
  • Nistala, Kalyan

Abstract

In various embodiments, a subtitle conformance application causes modifications to a subtitle list based on changes associated with an audiovisual program. In operation, the subtitle conformance application performs comparison operation(s) between versions of a subtitle template to identify changes to subtitles associated with the audiovisual program. The subtitle conformance application then determines a mapping between a first change included in the changes and a subtitle list associated with the audiovisual program. Finally, the subtitle conformance application causes the subtitle list to be modified based on the first change and the mapping. Advantageously, the subtitle conformance application enables productive development of subtitles to begin before the audiovisual program is finalized.

IPC Classes  ?

74.

Detecting errors in the timing between subtitles and shot changes

      
Application Number 15863772
Grant Number 10798271
Status In Force
Filing Date 2018-01-05
First Publication Date 2019-07-11
Grant Date 2020-10-06
Owner NETFLIX, INC. (USA)
Inventor
  • Parthasarathi, Murthy
  • Swan, Andrew
  • Wang, Yadong
  • Mack, Thomas E.

Abstract

In various embodiments, a subtitle timing application detects timing errors between subtitles and shot changes. In operation, the subtitle timing application determines that a temporal edge associated with a subtitle does not satisfy a timing guideline based on a shot change. The shot change occurs within a sequence of frames of an audiovisual program. The subtitle timing application then determines a new temporal edge that satisfies the timing guideline relative to the shot change. Subsequently, the subtitle timing application causes a modification to a temporal location of the subtitle within the sequence of frames based on the new temporal edge. Advantageously, the modification to the subtitle improves a quality of a viewing experience for a viewer. Notably, by automatically detecting timing errors, the subtitle timing application facilitates proper and efficient re-scheduling of subtitles that are not optimally timed with shot changes.

IPC Classes  ?

  • H04N 5/14 - Picture signal circuitry for video frequency region
  • H04N 9/82 - Transformation of the television signal for recording, e.g. modulation, frequency changing; Inverse transformation for playback the individual colour picture signal components being recorded simultaneously only
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 21/242 - Synchronization processes, e.g. processing of PCR [Program Clock References]
  • H04N 5/445 - Receiver circuitry for displaying additional information
  • 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 9/89 - Time-base error compensation
  • H04N 21/43 - Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronizing decoder's clock; Client middleware
  • H04N 21/488 - Data services, e.g. news ticker

75.

Packet loss tolerant transmission control protocol congestion control

      
Application Number 16357110
Grant Number 10498661
Status In Force
Filing Date 2019-03-18
First Publication Date 2019-07-11
Grant Date 2019-12-03
Owner Netflix, Inc. (USA)
Inventor Xie, Qiaobing

Abstract

During a Transmission Control Protocol (“TCP”) session, a sending endpoint computer monitors amounts of data sent and patterns of data loss as data is sent to a receiving endpoint computer. The sending endpoint computer periodically determines whether data is being sent below, at or above path capacity, based on the monitored amounts of data sent and patterns of data loss observed. The sending endpoint computer periodically dynamically adjusts the rate at which data is sent to the receiving endpoint computer, in response to the determinations whether data is being sent below, at or above path capacity.

IPC Classes  ?

  • H04L 12/825 - Adaptive control, at the source or intermediate nodes, upon congestion feedback, e.g. X-on X-off
  • H04L 12/701 - Routing or path finding
  • H04L 12/823 - Packet dropping
  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • H04L 12/801 - Flow control or congestion control

76.

DYNAMICALLY ADJUSTING VIDEO MERCHANDISING TO REFLECT USER PREFERENCES

      
Application Number 16285098
Status Pending
Filing Date 2019-02-25
First Publication Date 2019-06-20
Owner Netflix, Inc. (USA)
Inventor
  • Jaffe, Christopher Stewart
  • Nasol, Rico
  • Bell, Michael
  • Mclord, John
  • Nel, Joubert

Abstract

One embodiment of the present invention sets forth a technique for displaying scenes included in media assets. The technique includes selecting a first scene included in a first video asset based on one or more preferences and metadata associated with multiple scenes. The first video asset is one of multiple video assets, and each scene included in the multiple scenes is included in one of the video assets included in the multiple video assets. The technique further includes displaying the first scene within a first portion of a display area.

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 21/81 - Monomedia components thereof
  • G06F 3/0481 - 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
  • 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 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • 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 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies 
  • 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
  • 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
  • H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
  • H04N 21/431 - Generation of visual interfaces; Content or additional data rendering
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors

77.

Techniques for optimizing encoding tasks

      
Application Number 15840998
Grant Number 10887609
Status In Force
Filing Date 2017-12-13
First Publication Date 2019-06-13
Grant Date 2021-01-05
Owner NETFLIX, INC. (USA)
Inventor
  • Moorthy, Anush
  • Manohara, Megha

Abstract

In various embodiments, a shot collation application causes multiple encoding instances to encode a source video sequence that includes at least two shot sequences. The shot collation application assigns a first shot sequence to a first chunk. Subsequently, the shot collation application determines that a second shot sequence does not meet a collation criterion with respect to the first chunk. Consequently, the shot collation application assigns the second shot sequence or a third shot sequence derived from the second shot sequence to a second chunk. The shot collation application causes a first encoding instance to independently encode each shot sequence assigned to the first chunk. Similarly, the shot collation application causes a second encoding instance to independently encode each shot sequence assigned to the second chunk. Finally, a chunk assembler combines the first encoded chunk and the second encoded chunk to generate an encoded video sequence.

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 19/436 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals - characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation using parallelised computational arrangements
  • H04N 19/115 - Selection of the code volume for a coding unit prior to coding
  • 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
  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 19/146 - Data rate or code amount at the encoder output

78.

Automatic detection of preferences for subtitles and dubbing

      
Application Number 15432311
Grant Number 10321174
Status In Force
Filing Date 2017-02-14
First Publication Date 2019-06-11
Grant Date 2019-06-11
Owner NETFLIX, INC. (USA)
Inventor
  • Wilson, Haley
  • Wu, Eddy
  • Makharia, Ritesh
  • Rahman, Taskin
  • Fisher-Ogden, Philip

Abstract

In an approach, a server computer receives a request from a client computer specifying particular content for a particular user, wherein the particular content is associated with an original audio language. In response to receiving the request, the server computer selects a preferred audio language and a preferred subtitle language for the particular content based on a particular record of a preference database. The server computer returns asset identifying data that the client computer uses to obtain a stream of the particular content using the preferred audio language and the preferred subtitle language from a content delivery network (CDN) or other asset location. The server computer receives a message from the client computer that identifies an presented audio language and a presented subtitle language that were presented to the particular user while the particular content streamed. In response to a determination that the presented audio language differs from the preferred audio language or that the presented subtitle language differs from the preferred subtitle language, the server computer updates the particular record in the preference database.

IPC Classes  ?

  • G06F 17/28 - Processing or translating of natural language
  • G10L 15/00 - Speech recognition
  • 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 5/278 - Subtitling
  • H04N 21/4722 - 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
  • G06F 17/27 - Automatic analysis, e.g. parsing, orthograph correction
  • H04N 21/266 - Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system or merging a VOD unicast channel into a multicast channel
  • 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 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies 
  • H04N 21/485 - End-user interface for client configuration
  • H04N 21/488 - Data services, e.g. news ticker
  • H04N 21/81 - Monomedia components thereof
  • H04N 21/439 - Processing of audio elementary streams
  • 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
  • G06F 16/78 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol

79.

Managing content on an ISP cache

      
Application Number 16246413
Grant Number 10536498
Status In Force
Filing Date 2019-01-11
First Publication Date 2019-05-16
Grant Date 2020-01-14
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  ?

  • G06F 15/167 - Interprocessor communication using a common memory, e.g. mailbox
  • 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

80.

CHANGE DETECTION IN A STRING REPOSITORY FOR TRANSLATED CONTENT

      
Application Number 16230883
Status Pending
Filing Date 2018-12-21
First Publication Date 2019-04-25
Owner NETFLIX, INC. (USA)
Inventor
  • Mathada, Shashidhara
  • Moreno, Jose
  • Bihani, Ballav
  • Pherwani, Pragya
  • Sampath, Bharath
  • Sundaram, Vidyalakshmi Vilathur
  • Bisla, Kunal
  • Bhattacharyya, Prosenjit

Abstract

A technique for translating text strings includes receiving a source language text string from an application, determining that a translated text string that includes a translation in a target language of the source language text string is not available for use by the application, transmitting the source language text string to a translation service for translation, receiving the translated text string from the translation service, and causing the translated text string to be available for use by the application.

IPC Classes  ?

  • G06F 17/28 - Processing or translating of natural language
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06F 17/22 - Manipulating or registering by use of codes, e.g. in sequence of text characters

81.

TECHNIQUES FOR DETECTING SPATIAL ANOMALIES IN VIDEO CONTENT

      
Application Number 16143386
Status Pending
Filing Date 2018-09-26
First Publication Date 2019-04-18
Owner NETFLIX, INC. (USA)
Inventor
  • Bhattacharya, Subhabrata
  • Prakash, Adithya
  • Puri, Rohit

Abstract

In various embodiments, a defective pixel detection application automatically detects defective pixels in video content. In operation, the defective pixel detection application computes a first set of pixel intensity gradients based on a first frame of video content and a first neighborhood of pixels associated with a first pixel. The defective pixel detection application also computes a second set of pixel intensity gradients based on the first frame and a second neighborhood of pixels associated with the first pixel. Subsequently, the defective pixel detection application computes a statistical distance between the first set of pixel intensity gradients and the second set of pixel intensity gradients. The defective pixel detection application then determines that the first pixel is defective based on the statistical distance.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06K 9/46 - Extraction of features or characteristics of the image
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

82.

Synthetic supernet compression

      
Application Number 16209896
Grant Number 10778581
Status In Force
Filing Date 2018-12-04
First Publication Date 2019-04-11
Grant Date 2020-09-15
Owner NETFLIX, INC. (USA)
Inventor Bannister, David

Abstract

One embodiment of the present invention sets forth a technique for compressing a forwarding table. The technique includes selecting, from a listing of network prefixes, a plurality of network prefixes that are within a range of a subnet. The technique further includes sorting the plurality of network prefixes to generate one or more subgroups of network prefixes and selecting a first subgroup of network prefixes included in the one or more subgroups of network prefixes. The technique further includes generating a synthetic supernet based on the first subgroup of network prefixes.

IPC Classes  ?

  • H04L 12/741 - Header address processing for routing, e.g. table lookup
  • H04L 12/753 - Routing tree discovery, e.g. converting from mesh topology to tree topology
  • H04L 12/715 - Hierarchical routing, e.g. clustered networks or inter-domain routing
  • H04L 12/743 - Header address processing for routing, e.g. table lookup using hashing techniques
  • H04L 12/733 - Selecting a path with minimum length or minimum hop count

83.

Techniques for synthesizing film grain

      
Application Number 16108069
Grant Number 10839489
Status In Force
Filing Date 2018-08-21
First Publication Date 2019-02-28
Grant Date 2020-11-17
Owner NETFLIX, INC. (USA)
Inventor Norkin, Andrey

Abstract

In various embodiments, a reconstruction application generates reconstructed video content that includes synthesized film grain. The reconstruction application performs scaling operation(s) on first unit noise based on a piecewise linear scaling function and the brightness component of the decoded video content to generate a brightness component of synthesized film grain. The reconstruction application then generates a brightness component of reconstructed video content based on the brightness component of the synthesized film grain and the brightness component of the decoded video content. Finally, the reconstructed application performs operation(s) related to saving the reconstructed video content to a file and/or further processing the reconstructed video content. Advantageously, the synthesized film grain reliably represents the film grain included in source video content from which the decoded video content was derived.

IPC Classes  ?

  • G06T 5/00 - Image enhancement or restoration
  • G06T 3/40 - Scaling of a whole image or part thereof
  • G06T 7/90 - Determination of colour characteristics
  • G06T 3/20 - Linear translation of a whole image or part thereof, e.g. panning
  • 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
  • H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder
  • H04N 19/186 - 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 colour or a chrominance component

84.

Scalable techniques for executing custom algorithms on media items

      
Application Number 16116842
Grant Number 10877798
Status In Force
Filing Date 2018-08-29
First Publication Date 2019-02-28
Grant Date 2020-12-29
Owner NETFLIX, INC. (USA)
Inventor
  • San Miguel, Francisco J
  • Mareddy, Naveen
  • Wong, Rick

Abstract

In various embodiments, a workflow engine executes a custom algorithm on a media item. In operation, the workflow engine generates split specifications based on a split function included in a container image. Each split specification is associated with a different portion of the media item. Subsequently, the workflow engine generates map output files based on the split specifications and a map function included in the container image. The workflow engine then generates one or more final output file(s) based on the map output files and a collect function included in the container image. The final output file(s) are subsequently used to perform at least one of an evaluation operation on, a modification operation on, and a representation operation with respect to the media item.

IPC Classes  ?

  • G06F 9/48 - Program initiating; Program switching, e.g. by interrupt
  • G06F 9/455 - Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines

85.

FAST-EXPIRING LICENSES USED TO SPECULATIVELY AUTHORIZE ACCESS TO STREAMING MEDIA CONTENT

      
Application Number 16167176
Status Pending
Filing Date 2018-10-22
First Publication Date 2019-02-21
Owner NETFLIX, INC. (USA)
Inventor
  • Watson, Mark
  • Park, Anthony Neal
  • Zollinger, Mitch

Abstract

Techniques are disclosed for improving user experience of multimedia streaming over computer networks. More specifically, techniques presented herein reduce (or eliminate) latency in playback start time for streaming digital media content resulting from digital rights management (DRM) authorizations. A streaming media client (e.g., a browser, set-top box, mobile telephone or tablet “app”) may request a “fast-expiring” license for titles the streaming media client predicts a user is likely to begin streaming. A fast-expiring license is a DRM license (and associated decryption key) which is valid for only a very limited time after being used for playback. During the validity period of such a license, the client device requests a “normal” or “regular” license to continue accessing the title after the fast-expiring license expires.

IPC Classes  ?

  • G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
  • H04N 21/8355 - Generation of protective data, e.g. certificates involving usage data, e.g. number of copies or viewings allowed
  • H04N 21/482 - End-user interface for program selection
  • H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
  • H04N 21/4405 - 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 video stream decryption
  • H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
  • H04N 21/6334 - Control signals issued by server directed to the network components or client directed to client for authorisation, e.g. by transmitting a key

86.

Encoding techniques for optimizing distortion and bitrate

      
Application Number 16034303
Grant Number 10666992
Status In Force
Filing Date 2018-07-12
First Publication Date 2019-01-24
Grant Date 2020-05-26
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 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 19/179 - 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 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
  • 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 19/124 - Quantisation
  • 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

87.

ENCODING TECHNIQUES FOR OPTIMIZING DISTORTION AND BITRATE

      
Application Number 16053754
Status Pending
Filing Date 2018-08-02
First Publication Date 2019-01-24
Owner NETFLIX, INC. (USA)
Inventor Katsavounidis, Ioannis

Abstract

A shot analyzer varies the resolution when generating encoded video sequences for streaming. The shot analyzer generates a first encoded video sequence based on a first resolution and a source video sequence that is associated with a video title. The shot analyzer then determines a first encoded shot sequence from multiple encoded shot sequences included in the first encoded video sequence based on quality metric(s). The first encoded shot sequence is associated with a first shot sequence included in the source video sequence. Subsequently, the shot analyzer generates a second encoded shot sequence based on a second resolution and the first shot sequence. The shot analyzer generates a second encoded video sequence based on the first encoded video sequence and the second encoded shot sequence. At least a first portion of the second encoded video sequence is subsequently streamed to an endpoint device during playback of the video title.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • 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
  • H04L 12/26 - Monitoring arrangements; Testing arrangements

88.

Identifying previously streamed portions of a media title to avoid repetitive playback

      
Application Number 15654657
Grant Number 10560506
Status In Force
Filing Date 2017-07-19
First Publication Date 2019-01-24
Grant Date 2020-02-11
Owner NETFLIX, INC. (USA)
Inventor Kansara, Apurvakumar Dilipkumar

Abstract

A sequence analyzer compares different episodes of an episodic serial to identify portions of a current episode of the serial that have already been played back to a user. Those portions may include introductory material such as credits, or a recap section that includes content from previous episodes. The sequence analyzer parses previous episodes of the serial and selects a representative frame for each shot sequence. The sequence analyzer then generates a fingerprint for each shot sequence based on the associated representative frame. The sequence analyzer compares fingerprints associated with a current episode of the serial to fingerprints associated with one or more previous episodes of the serial to identify shot sequences that have already been played. The user may then skip those repeated sequences via a playback interface.

IPC Classes  ?

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

89.

High dynamic range color conversion correction

      
Application Number 16133629
Grant Number 10750146
Status In Force
Filing Date 2018-09-17
First Publication Date 2019-01-10
Grant Date 2020-08-18
Owner NETFLIX, INC. (USA)
Inventor Norkin, Andrey

Abstract

One embodiment of the present invention sets forth a technique for correcting color values. The technique includes downsampling first color space values to generate downsampled color space values and upsampling the downsampled color space values to generate second color space values. The technique further includes modifying at least one component value included in the downsampled color space values based on a first component value included in the first color space values, a second component value included in the second color space values, and an approximation of a nonlinear transfer function.

IPC Classes  ?

  • H04N 9/64 - Circuits for processing colour signals
  • 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 19/85 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
  • H04N 9/68 - Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
  • H04N 9/77 - Circuits for processing the brightness signal and the chrominance signal relative to each other, e.g. adjusting the phase of the brightness signal relative to the colour signal, correcting differential gain or differential phase
  • H04N 19/186 - 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 colour or a chrominance component
  • H04N 19/10 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
  • H04N 19/86 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving reduction of coding artifacts, e.g. of blockiness

90.

Techniques for detecting media playback errors

      
Application Number 15633661
Grant Number 10306270
Status In Force
Filing Date 2017-06-26
First Publication Date 2018-12-27
Grant Date 2019-05-28
Owner NETFLIX, INC. (USA)
Inventor
  • Turmel, Frederic
  • Newell, Nicholas

Abstract

An endpoint device outputs frames of test media during a testing procedure. Each frame of test media includes a test pattern. A test module coupled to the endpoint device samples the test pattern and transmits sample data to a media test engine. The media test engine decodes a binary number from the test pattern and then converts the binary number to an integer value that is associated with the corresponding frame. The media test engine then analyzes sequences of these integer values to identify playback errors associated with the endpoint device.

IPC Classes  ?

  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
  • H04N 19/89 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving methods or arrangements for detection of transmission errors at the decoder
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • H04L 12/24 - Arrangements for maintenance or administration

91.

ACCELERATION SYSTEM FOR FACILITATING PROCESSING OF API CALLS

      
Application Number 15628509
Status Pending
Filing Date 2017-06-20
First Publication Date 2018-12-20
Owner NETFLIX, Inc. (USA)
Inventor Poitrey, Olivier Jean

Abstract

One embodiment includes acceleration systems that operate as intermediaries between the API processing system and the clients to reduce API call roundtrip latencies. The acceleration systems are a network of interconnected systems that are distributed across the globe. A given acceleration system establishes a network connection with a given client and receives a request for processing an API call over the connection. The programming function associated with the API call is configured in the API processing system. The acceleration system facilitates the processing of the API call over an established connection with the API processing system.

IPC Classes  ?

  • G06F 15/173 - Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star or snowflake
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline, look ahead

92.

Staggered key frame video encoding

      
Application Number 15620673
Grant Number 10873775
Status In Force
Filing Date 2017-06-12
First Publication Date 2018-12-13
Grant Date 2020-12-22
Owner NETFLIX, INC. (USA)
Inventor
  • Mavlankar, Aditya
  • Katsavounidis, Loannis
  • Watson, Mark

Abstract

One embodiment of the invention sets forth a mechanism for encoding video streams associated with the same digital content such that switch points staggered across two video streams occur at every offset temporal distance. The offset temporal distance is less than the distance between two consecutive key frames in a given video stream. This enables a content player to switch to a video stream having a playback quality up or down one level from a current video stream at the offset temporal distance from the most recently played key frame. In effect, the content player does not wait the entire key frame temporal distance before switching.

IPC Classes  ?

  • H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
  • H04N 21/2365 - Multiplexing of several video streams
  • H04N 21/438 - Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving MPEG packets from an IP network
  • H04N 21/233 - Processing of audio elementary streams
  • H04N 19/114 - Adapting the group of pictures [GOP] structure, e.g. number of B-frames between two anchor frames
  • 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 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 19/172 - 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 picture, frame or field
  • 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

93.

Dynamic security testing

      
Application Number 15997623
Grant Number 10769282
Status In Force
Filing Date 2018-06-04
First Publication Date 2018-12-06
Grant Date 2020-09-08
Owner NETFLIX, INC. (USA)
Inventor
  • Chan, Jason
  • Kelley, Patrick
  • Hagen, Benjamin
  • Reed, Samuel

Abstract

A method and system for discovering and testing security assets is provided. Based on source definition data describing sources to monitor on the one or more computer networks, an example system scans the sources to identify security assets. The system analyses the security assets to identify characteristics of the server-based applications. The system stores database records describing the security assets and the identified characteristics. The system queries the database records to select, based at least on the identified characteristics, one or more target assets, from the security assets, on which to conduct one or more security tests. Responsive to selecting the one or more target assets, the system conducts the one or more security tests on the one or more target assets. The system identifies one or more security vulnerabilities at the one or more target assets based on the conducted one or more security tests.

IPC Classes  ?

  • G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities

94.

Temporal placement of a rebuffering event

      
Application Number 15610053
Grant Number 10425683
Status In Force
Filing Date 2017-05-31
First Publication Date 2018-12-06
Grant Date 2019-09-24
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 21/234 - 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 21/432 - Content retrieval operation from a local storage medium, e.g. hard-disk
  • H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
  • H04N 21/61 - Network physical structure; Signal processing

95.

OPTIMIZING ENCODING OPERATIONS WHEN GENERATING ENCODED VERSIONS OF A MEDIA TITLE

      
Application Number 16054621
Status Pending
Filing Date 2018-08-03
First Publication Date 2018-11-29
Owner NETFLIX, INC. (USA)
Inventor
  • Katsavounidis, Ioannis
  • Aaron, Anne
  • De Cock, Jan

Abstract

In various embodiments, a sequence-based encoding application partitions a set of shot sequences associated with a media title into multiple clusters based on at least one feature that characterizes media content and/or encoded media content associated with the media title. The clusters include at least a first cluster and a second cluster. The sequence-based encoding application encodes a first shot sequence using a first operating point to generate a first encoded shot sequence. The first shot sequence and the first operating point are associated with the first cluster. By contrast, the sequence-based encoding application encodes a second shot sequence using a second operating point to generate a second encoded shot sequence. The second shot sequence and the second operating point are associated with the second cluster. Subsequently, the sequence-based encoding application generates an encoded media sequence based on the first encoded shot sequence and the second encoded shot sequence.

IPC Classes  ?

  • H04N 19/42 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals - characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
  • 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 19/142 - Detection of scene cut or scene change
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • 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]

96.

Distributed traffic management system and techniques

      
Application Number 15960419
Grant Number 10701035
Status In Force
Filing Date 2018-04-23
First Publication Date 2018-11-01
Grant Date 2020-06-30
Owner NETFLIX, INC. (USA)
Inventor
  • Chan, Jason
  • Udupi, Poornaprajna
  • Madappa, Shashi

Abstract

Approaches, techniques, and mechanisms are disclosed for implementing a distributed firewall. In an embodiment, many different computer assets police incoming messages based on local policy data. This local policy data is synchronized with global policy data. The global policy data is generated by one or more separate analyzers. Each analyzer has access to message logs, or information derived therefrom, for groups of computer assets, and is thus able to generate policies based on intelligence from an entire group as opposed to an isolated asset. Among other effects, some of the approaches, techniques, and mechanisms may be effective even in computing environments with limited supervision over the attack surface, and/or computing environments in which assets may need to make independent decisions with respect to how incoming messages should be handled, on account of latency and/or unreliability in connections to other system components.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • G06F 16/22 - Indexing; Data structures therefor; Storage structures
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

97.

Hash data structure biasing

      
Application Number 15582474
Grant Number 10609132
Status In Force
Filing Date 2017-04-28
First Publication Date 2018-11-01
Grant Date 2020-03-31
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  ?

  • 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 29/08 - 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

98.

Method and system for improving security and reliability in a networked application environment

      
Application Number 15960468
Grant Number 10691814
Status In Force
Filing Date 2018-04-23
First Publication Date 2018-10-25
Grant Date 2020-06-23
Owner NETFLIX, INC. (USA)
Inventor
  • Tseitlin, Ariel
  • Rapoport, Roy
  • Chan, Jason

Abstract

A security application manages security and reliability of networked applications executing collection of interacting computing elements within a distributed computing architecture. The security application monitors various classes of resources utilized by the collection of nodes within the distributed computing architecture and determine whether utilization of a class of resources is approaching a pre-determined maximum limit. The security application performs a vulnerability scan of a networked application to determine whether the networked application is prone to a risk of intentional or inadvertent breach by an external application. The security application scans a distributed computing architecture for the existence of access control lists (ACLs), and stores ACL configurations and configuration changes in a database. The security application scans a distributed computing architecture for the existence of security certificates, places newly discovered security certificates in a database, and deletes outdated security certificates. Advantageously, security and reliability are improved in a distributed computing architecture.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • G06F 21/60 - Protecting data
  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
  • G06F 21/45 - Structures or tools for the administration of authentication
  • G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
  • H04L 9/32 - Arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system
  • H04L 12/26 - Monitoring arrangements; Testing arrangements
  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • H04L 12/24 - Arrangements for maintenance or administration
  • G06F 11/30 - Monitoring
  • G06F 21/00 - Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

99.

Display screen or a portion thereof with a graphical user interface

      
Application Number 29565664
Grant Number D0831682
Status In Force
Filing Date 2016-05-23
First Publication Date 2018-10-23
Grant Date 2018-10-23
Owner NETFLIX, INC. (USA)
Inventor
  • Emanuel, M. Frank
  • Cleveland, Trevor
  • O'Connor, Kevin
  • Dreyer, Steven

100.

Techniques for predicting perceptual video quality

      
Application Number 16017929
Grant Number 10475172
Status In Force
Filing Date 2018-06-25
First Publication Date 2018-10-18
Grant Date 2019-11-12
Owner NETFLIX, INC. (USA)
Inventor
  • Aaron, Anne
  • Kim, Dae
  • Lin, Yu-Chieh
  • Ronca, David
  • Schuler, Andy
  • Tsao, Kuyen
  • Wu, Chi-Hao

Abstract

In one embodiment of the present invention, a quality trainer and quality calculator collaborate to establish a consistent perceptual quality metric via machine learning. In a training phase, the quality trainer leverages machine intelligence techniques to create a perceptual quality model that combines objective metrics to optimally track a subjective metric assigned during viewings of training videos. Subsequently, the quality calculator applies the perceptual quality model to values for the objective metrics for a target video, thereby generating a perceptual quality score for the target video. In this fashion, the perceptual quality model judiciously fuses the objective metrics for the target video based on the visual feedback processed during the training phase. Since the contribution of each objective metric to the perceptual quality score is determined based on empirical data, the perceptual quality score is a more accurate assessment of observed video quality than conventional objective metrics.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/00 - Image analysis
  • G06T 9/00 - Image coding
  • H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
  • H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
  • G06T 7/20 - Analysis of motion
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