Methods, apparatus, systems, and articles of manufacture are disclosed. An apparatus includes at least one memory, instructions, and processor circuitry to execute the instructions. The processor circuitry executes the instructions to deduplicate at least one of panel data, automatic content recognition data, or return path data to generate a deduplicated data set. The processor circuitry executes the instructions to generate a graph that connects devices identified in the deduplicated data set, the devices connected based on at least one of a shared internet protocol addresses, a shared location identifier, or a common device identifier assigned by a common device identification algorithm. The processor circuitry executes the instructions to remove one or more connections based on an inconsistency between the one or more connections and personally identifiable information.
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 21/436 - Interfacing a local distribution network, e.g. communicating with another STB or inside the home
H04L 12/28 - Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
2.
SYSTEMS, APPARATUS, AND METHODS TO IMPROVE WATERMARK DETECTION IN ACOUSTIC ENVIRONMENTS
Methods, apparatus, systems, and articles of manufacture to improve watermark detection in acoustic environments are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute and/or instantiate the instructions to encode a first symbol in a media file at a first symbol position on a first encoding layer of a multilayered watermark, and encode a second symbol in the media file at a second symbol position on a second encoding layer of the multilayered watermark, the first encoding layer and the second encoding layer including a plurality of symbol positions, one or more of the plurality of the symbol positions on at least one of the first encoding layer or the second encoding layer to be empty.
A computer-implemented method for efficiently estimating the number of unique elements in a collection of elements comprises generating, via hash logic, hash values for each element of the collection of elements. The method further comprises specifying, in a sketch-frequency table, a set of discrete statistical values associated with the hash values and, for each discrete statistical value of the set of discrete statistical values, information indicative of a frequency at which binary representations of the hash values are associated with the discrete statistical value. The cardinality of the collection of elements is estimated based on the sketch-frequency table.
Methods, apparatus, systems and articles of manufacture to credit unidentified media are disclosed. Disclosed example apparatus include a database updater to store a first group of signatures representative of unidentified media in a database, the first group of signatures obtained from a first media meter to monitor a first media presentation device, the first group of signatures associated with a first media exposure category based on media source information reported by the first media meter. Disclosed example apparatus also include a media comparator to compare a second group of signatures with the first group of signatures, the second group of signatures obtained from a second media meter to monitor a second media presentation device. Disclosed example apparatus further include a reporter to credit media exposure represented by the second group of signatures to the first media exposure category when the second group of signatures matches the first group of signatures.
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 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
5.
METHODS AND APPARATUS FOR PANELIST-BASED LOGINS USING VOICE COMMANDS
Methods and apparatus for panelist-based logins using voice commands are disclosed herein. A disclosed example apparatus for identifying a user as a member of an audience includes a memory and at least one processor to execute machine readable instructions to at least access audio emitted by a speech recognition system, the audio generated based on a request spoken by the user, identify at least one of a watermark or a fingerprint included in the audio, the watermark or fingerprint including identifying information to identify a user and an indication of the presence of the user, and record the indication of the presence of the user in an audience.
Methods, apparatus, systems, and articles of manufacture are disclosed to identify candidates for media asset qualification. Example apparatus disclosed herein include a media creditor to determine whether to credit a first media asset to linear media or non-linear media, the non-linear media including subscription video on demand (SVOD). Disclosed example apparatus also include a media asset candidate controller to: classify the first media asset as a non-candidate for media asset qualification in response to the first media asset being credited to the linear media or the non-linear media. In some examples, the media asset candidate controller is to determine whether to classify the first media asset as a candidate for media asset qualification based on whether the first media asset remains uncredited by the media creditor and the first media asset overlaps a streaming period.
H04N 21/4623 - Processing of entitlement messages, e.g. ECM [Entitlement Control Message] or EMM [Entitlement Management Message]
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 21/442 - 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 21/266 - 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 21/8547 - Content authoring involving timestamps for synchronizing content
7.
METHODS AND APPARATUS TO REDIRECT INTERNET CLIENTS FOR MEDIA MONITORING
Methods, apparatus, systems and articles of manufacture are disclosed to redirect internet clients for media monitoring. An example apparatus disclosed herein includes a wireless communication controller to establish a plurality of connections to a WI-FI router, the plurality of connections corresponding to simulated WI-FI clients, and a client interface to identify a connection of a WI-FI client to the apparatus and route network traffic of the WI-FI client to the WI-FI router via the plurality of connections.
Methods, apparatus, systems, and articles of manufacture are disclosed to perform confidential sketch processing. An example apparatus includes token handler circuitry to establish trust with a publisher, sketch handler circuitry to obtain user monitoring data from the publisher and process the user monitoring data, and data transmitter circuitry to send a portion of the processed user monitoring data to an audience measurement entity controller.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
Methods, apparatus, systems and articles of manufacture to extend a timestamp range supported by a watermark without breaking backwards compatibility are disclosed. An example watermark encoder includes a counter to increment symbols of a watermark timestamp and a controller to control the counter to increment the symbols of the watermark timestamp based on a key, the controller to cause the counter to restrict ones of the symbol values to increment over one of a first range of symbol values or a second range of symbol values based on a value of the key, the second range of symbol values different from the first range of symbol values.
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/8547 - Content authoring involving timestamps for synchronizing content
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
10.
COMPUTER-BASED MONITORING OF DATA RECORDS OF LOGGED CONSUMER DATA
Disclosed examples determine a first level of loyalty to a brand for a household based on first data records of consumer data corresponding to a first period of time; determine a second level of loyalty to the brand for the household based on second data records of consumer data corresponding to a second period of time after the first time period; determine consumer metrics based on the first level of loyalty and the second level of loyalty; and generate a report based on the consumer metrics.
Methods, apparatus, systems, and articles of manufacture are disclosed to determine digital audience reach across multiple platforms. An example apparatus includes audience data receiver circuitry to obtain first audience data from a first media platform; and processor circuitry to perform at least one of the first operations, the second operations, or the third operations to instantiate: activity analyzer circuitry to determine media activities in the first audience data; adjustment analyzer circuitry to: apply at least one adjustment factor to the first audience data based on a source of the audience data; apply a coverage factor adjustment to the first audience data; and output the adjusted first audience data as a deduplicated audience for the first media platform.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/222 - Secondary servers, e.g. proxy server or cable television Head-end
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
Methods and apparatus to identify media application sessions are disclosed. An example apparatus includes an audio interface to monitor an audio output of a media presentation device during a viewing session, a tone analyzer to identify one or more dual-tone multi-frequency (DTMF) tones presented by the audio output of the media presentation device, a session identification determiner to determine a session identification value associated with the viewing session based on the one or more identified DTMF tones, and a session report generator to associate a panelist identifier with the viewing session, and generate a session report based on the session identification value associated with the DTMF tones and the panelist identifier associated with the viewing session.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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 21/233 - Processing of audio elementary streams
H04N 21/439 - Processing of audio elementary streams
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 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04H 60/58 - Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups or of audio
13.
METHODS AND APPARATUS TO PERFORM COMPUTER-BASED COMMUNITY DETECTION IN A NETWORK
Disclosed examples include at least one memory, instructions, and processor circuitry to execute the instructions to generate a device graph, the device graph to represent links between ones of personally identifiable information nodes and ones of device nodes, generate person-clusters based on the device graph, the person-clusters based on the links and community detection hyperparameter values, generate a node-to-person lookup structure based on the person-clusters, and deduplicate impression data based on the node-to-person lookup structure.
Methods, apparatus, systems, and articles of manufacture for reconciliation of commercial measurement ratings for non-return path data media devices are disclosed. Example apparatus disclosed herein are to estimate unreported addressable impressions for a plurality of unreported households for an addressable advertisement based on an impressions adjustment ratio of served reportable addressable impressions to exposed reported addressable impressions included in impressions data associated with reported households. Disclosed example apparatus are further to calculate at least one of reach or frequency for the addressable advertisement to account for non-reporting devices, the at least one of the reach or the frequency determined based on the exposed reported addressable impressions, the estimated unreported addressable impressions, and the impressions adjustment ratio.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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
Example methods and apparatus to recognize metered devices connected to proprietary WiFi extenders are disclosed herein. In some examples, a first device comprising at least one memory including a table, and at least one processor to broadcast a first message to a network extender, the first message including a first address associated with a second device and a message identifier, identify, in response to obtaining a second message including the message identifier, a second address embedded on a data link layer of the second message, and store the second address in the table in association with the second device.
METHODS AND APPARATUS TO PERFORM COMPUTER-BASED MONITORING OF AUDIENCES OF NETWORK-BASED MEDIA BY USING INFORMATION THEORY TO ESTIMATE INTERMEDIATE LEVEL UNIONS
Methods, apparatus, systems, and articles of manufacture to perform computer-based monitoring of audiences of network-based media using information theory to estimate intermediate level unions are disclosed. An example apparatus to determine a deduplicated, census-based audience metric of media includes panel union calculator circuitry to calculate a threshold statistic corresponding to an intermediate union of a panel hierarchy, and census union calculator circuitry to calculate a deduplicated audience value corresponding to the intermediate union of the census hierarchy based on the threshold statistic.
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 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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
H04L 67/02 - Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
17.
ENGAGEMENT MEASUREMENT OF MEDIA CONSUMERS BASED ON THE ACOUSTIC ENVIRONMENT
Methods, apparatus, systems and articles of manufacture to measure engagement of media consumers based on acoustic environment are disclosed. Example apparatus disclosed herein are to identify media device audio data and ambient environment audio data from sensed audio data collected from an environment, and determine classification data for the media device audio data and the ambient environment audio data. Disclosed example apparatus are also to process the classification data with a machine learning model to calculate an engagement metric. Disclosed example apparatus are further to determine whether at least one individual is engaged with media in the environment based on the engagement metric.
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 21/439 - Processing of audio elementary streams
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to detect an operational state (such as an on/off state) of a media device are disclosed herein. Disclosed example apparatus include activity detection circuitry to monitor for activity on a first bus of an (HDMI) port of the media device. Disclosed example apparatus also include probe circuitry to inject a message with a first address on the first bus in response to detection of no activity on the first bus for at least a threshold duration. Disclosed example apparatus further include state detection circuitry to detect the operational state of the media device based on whether a response to the message is received on the first bus.
An example apparatus includes an audience size calculator circuitry to determine a first census-level audience size, and an impression count calculator circuitry to determine a first census-level impression count. The example apparatus includes a verification controller circuitry to determine whether the first one of the plurality of cross-demographic total census audience parameter values satisfies a first constraint; determine the first one of the plurality of cross-demographic total census impression parameter values satisfies a second constraint based on the first census-level impression count; and when the first constraint is not satisfied or the second constraint is not satisfied: (a) discard the first one of the cross-demographic total census audience parameter values and the first one of the cross-demographic total census impression parameter values, and (b) select a second one of the cross-demographic total census audience parameter values and a second one of the cross-demographic total census impression parameter values.
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 21/258 - 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 21/658 - Transmission by the client directed to the server
H04H 60/29 - Arrangements for monitoring broadcast services or broadcast-related services
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
Examples are disclosed to perform signature matching using noise cancellation models to achieve consensus. Example apparatus disclosed herein include a signature matcher to compare a first stream of monitored media signatures to streams of reference signatures representative of corresponding reference media to determine a first signature match, and compare a second stream of monitored media signatures to the streams of reference signatures to determine a second signature match; a match selector to use at least one the first signature match or the second signature match to identify a first one of the reference media corresponding to the monitored media data; and a creditor interface to output identification data for the first one of the reference media identified with the at least one the first signature match or the second signature match, the identification data to be used to credit a media exposure corresponding to the monitored media.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
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
21.
METHODS AND APPARATUS FOR USER IDENTIFICATION VIA COMMUNITY DETECTION
Methods, apparatus, systems, and articles of manufacture for user identification via community detection are disclosed. Example instructions, when executed, cause at least one processor to at least access personally identifiable information to device links, build a device graph based on the personally identifiable information to device links, split components of the device graph into person clusters using community detection, create a snapshot including a device-to-person link lookup, and prepare a person-level impression measurement report from the snapshot.
Methods, apparatus, systems and articles of manufacture are disclosed to use station identification to enable confirmation of exposure to live media. Example apparatus disclosed herein include a watermark data segmenter to determine a media identifier conveyed by a watermark, a detection time determiner to determine a time at which a media meter detected the watermark from a media presentation by a media device, a reference identifier to query a library of reference signatures for a reference signature associated with the media identifier of the watermark and associated with a reference timestamp corresponding to the time at which the media meter detected the watermark, and a viewing type determiner to determine whether the media presentation is live or time-shifted based on whether a result of the query indicates the reference signature does not exist in the library of reference signatures.
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/8547 - Content authoring involving timestamps for synchronizing content
H04N 21/4385 - Multiplex stream processing, e.g. multiplex stream decrypting
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
23.
METHODS AND APPARATUS TO DETERMINE HEADPHONE ADJUSTMENT FOR PORTABLE PEOPLE METER LISTENING TO ENCODED AUDIO STREAMS
Methods, apparatus, systems and articles of manufacture to determine headphone adjustment for portable people meter listening to encoded audio streams are disclosed. Example apparatus disclosed herein include a meter data analyzer to determine audience estimates for streaming media; a headphone survey analyzer to calculate a global lift factor based on a determined proportion of the audience that listens to streaming media via headphones and a determined proportion of the audience that listens to streaming media without headphones; a headphone survey adjuster to: calculate adjustment factors for a plurality of unique demographic adjustment groups; an audience adjustment calculator to apply the adjustment factors to the audience estimates for streaming media, wherein the adjustment factors are applied to audience members in the audience estimates that are associated with respective unique demographic adjustment groups; and report new audience estimates based on the audience estimates with the applied adjustment factors.
H04N 21/485 - End-user interface for client configuration
H04N 21/439 - Processing of audio elementary streams
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
H04H 60/58 - Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups or of audio
Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data, the frame of thermal image data captured in the media environment, a comparator to compare the heat blob count to a prompted people count, the prompted people count based on one or more responses to a prompting message, and when the heat blob count and the prompted people count match, cause a timer that is to trigger generation of the prompting message to be reset.
Client identifier watermarks in media signals are disclosed. An example apparatus to watermark a multilayered file includes a watermark storage to store media identifiers. The example apparatus also includes an encoder to encode a first bit sequence in the media file on a first encoding layer of a multilayered watermark, the first bit sequence to include a client identifier of a client associated with the media file, and encode a second bit sequence in the media file on a second encoding layer of the multilayered watermark, the second bit sequence to include a media identifier to identify media corresponding to the media file.
Methods, apparatus, systems and articles of manufacture to credit media segments shared among multiple media assets are disclosed. Example methods disclosed herein include comparing a sequence of monitored media signatures with a library of reference signatures to determine a signature match, the monitored media signatures representative of a monitored media presentation. Disclosed example methods also include determining a duration and an offset of the signature match, the offset to represent a position of the signature match relative to a start of a reference media asset associated with the signature match. Disclosed example methods further include crediting a segment of the monitored media presentation represented by the signature match to an identifier of a class of media assets including the reference media asset in response to a determination that (i) the duration of the signature match does not exceed a first threshold and (ii) the offset does not exceed a second threshold.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/835 - Generation of protective data, e.g. certificates
27.
METHODS AND APPARATUS TO IDENTIFY ALTERNATE LANGUAGE VERSIONS OF MEDIA BASED ON SIGNATURE MATCHING
Methods and apparatus to identify alternate language versions of media based on signature matching are disclosed. Example apparatus disclosed herein include a signature matcher to compare signatures in monitored data with reference signatures to determine signature match strengths associated with portions of the monitored data, the reference signatures associated with reference media assets. Disclosed example apparatus also include a data segmenter to divide the monitored data into first and second segments, the first segments including temporally adjacent portions of the monitored data having signature match strengths that satisfy a threshold, the second segments including temporally adjacent portions of the monitored data having signature match strengths that do not satisfy the threshold. Disclosed example apparatus further includes a trend determiner to determine, based on a pattern of the first and second segments, whether the monitored data is associated with an alternative language version of one of the reference media assets.
H04N 21/4385 - Multiplex stream processing, e.g. multiplex stream decrypting
H04N 21/439 - Processing of audio elementary streams
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 21/845 - Structuring of content, e.g. decomposing content into time segments
Methods and apparatus to identify streaming sessions are disclosed. A disclosed apparatus for identifying streaming sessions includes an encoder to generate an identifier corresponding to a media file of an advertisement, a detector to determine a presence of the identifier in the advertisement presented at a media presentation device, a timing analyzer to determine a time at which the advertisement was presented, and an associator. The associator is to compare the identifier and the time to a streaming session log from a streaming service provider, identify a streaming session in which the advertisement associated with the identifier was presented at the time based on the comparison, and associate a panelist identifier corresponding to the media presentation device with a streaming session identifier corresponding to the streaming session.
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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 21/845 - Structuring of content, e.g. decomposing content into time segments
29.
METHODS AND APPARATUS TO REDUCE FALSE POSITIVE SIGNATURE MATCHES DUE TO SIMILAR MEDIA SEGMENTS IN DIFFERENT REFERENCE MEDIA ASSETS
Methods, apparatus, systems and articles of manufacture to reduce false positive signature matches due to similar media segments in different reference media assets are disclosed. Example apparatus disclosed herein include a signature matcher to compare monitored media signatures with a library of reference media signatures, the monitored media signatures associated with monitored media, the library of reference media signatures including sequences of reference signatures associated with respective reference media assets. Disclosed example apparatus also include a match information identifier to identify a number of different matched reference media assets associated with ones of the sequences of reference media signatures that match a sequence of matched monitored media signatures. Disclosed example apparatus further include a false positive identifier to, in response to the number of different matched reference media assets satisfying a threshold number, eliminate one or more of the matched reference media assets from being credited to the monitored media.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/835 - Generation of protective data, e.g. certificates
30.
METHODS AND APPARATUS TO REDUCE FALSE CREDITING OF EXPOSURE TO VIDEO-ON-DEMAND MEDIA ASSETS
Methods, apparatus, systems and articles of manufacture are disclosed to reduce false crediting of exposure to video-on-demand media assets. Example apparatus disclosed herein include a signature matcher to compare a sequence of monitored media signatures to sequences of reference signatures representative of corresponding reference media assets, the sequence of monitored media signatures included in monitoring data reported by a media device meter, the sequences of reference signature stored in a library of reference signatures. Disclosed example apparatus also include a matched assets counter to determine a count of ones of the reference media assets represented by corresponding ones of the sequences of reference signatures determined to match the sequence of monitored media signatures. Disclosed examples further include a credit determiner to determine whether to credit media exposure to a first one of the reference media assets based on the count.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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 21/472 - 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 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/835 - Generation of protective data, e.g. certificates
31.
METHODS AND APPARATUS TO GENERATE COMPUTER-TRAINED MACHINE LEARNING MODELS TO CORRECT COMPUTER-GENERATED ERRORS IN AUDIENCE DATA
Methods, apparatus, systems and articles of manufacture are disclosed to generate computer-trained machine learning models to correct computer-generated errors in audience data. An example apparatus includes a query selector to select a plurality of features and a range of hyperparameters; a query generator to generate a plurality of machine learning models based on the plurality of features and the range of hyperparameters, and initiate training of the plurality of machine learning models based on demographic data in a privacy-protected cloud environment, the demographic data obtained from database proprietor user accounts corresponding to audience measurement panelists; and a model selector to select a first machine learning model from the plurality of machine learning models.
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
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 21/258 - 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
Methods and apparatus for multi-account adjustment in third-party privacy-protected cloud environments are disclosed herein. A disclosed example apparatus includes memory and processor circuitry to execute computer readable instructions to select a demographic characteristic, the demographic characteristic defining a segment of panelists, select a type of client device, determine a number of the panelists associated with the demographic characteristic and the client device, and define a multi-account adjustment factor for the demographic characteristic and the client device, the factor based on a ratio of a number of panelists to a number of user accounts, the user accounts associated with the determined number of panelists.
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 21/222 - Secondary servers, e.g. proxy server or cable television Head-end
H04N 21/475 - End-user interface for inputting end-user data, e.g. PIN [Personal Identification Number] or preference data
Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. In some examples, an apparatus comprising a model generator to generate an individualization model based on truth data indicating first true users exposed to media via first panelist client devices, a model analyzer to produce user probabilities for second panelist client devices based on the individualization model, the user probabilities indicating likelihoods of second true users being exposed to media via the second panelist client devices, a data modifier to: select a user probability from the user probabilities based on an impression, the impression associated with at least one feature and a selected device from the second panelist client devices, the user probability associated with the at least one feature and the selected device, the user probability indicating a likelihood of a set of second true users being exposed to media corresponding to the impression via the selected device, and assign the impression to the set of second true users.
Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. An example apparatus includes a data modifier to obtain a first matrix, the first matrix including first data indicative of entities and embeddings, the entities representative of at least one of search result clicks or videos watched, the embeddings representative of at least one of first classifications of the search result clicks or second classifications of the videos watched, generate a second matrix by reducing the first data in the first matrix to second data that satisfies a size corresponding to an input feature, and store the second matrix in first memory as the input feature, and a model generator to generate a demographic correction model based on the second matrix as the input feature, the demographic correction model to correct demographics corresponding to impressions logged in second memory.
An example apparatus disclosed herein includes a panelist detector to identify audience measurement panelists associated with database proprietor accounts, a sign-in rate calculator to determine an actual sign-in rate of the audience measurement panelists based on first impressions represented in database proprietor impressions data and second impressions represented in panel data, an adjustment factor generator to determine a first audience adjustment factor corresponding to a first sign-in rate and a second audience adjustment factor corresponding to a second sign-in rate, and a weighting controller to generate a first weighted audience adjustment factor and a second weighted audience adjustment factor by weighting the first and second audience adjustment factors by the actual sign-in rate, the adjustment factor generator to determine a signed-out adjustment factor based on the first and second weighted audience adjustment factors.
Methods, apparatus, systems, and articles of manufacture are disclosed to adjust demographic information of user accounts to reflect primary users of the user accounts. An apparatus comprising: memory; and processor circuitry to execute instructions that causes the processor circuitry to at least: determine a first total score for a first panelist associated with a panelist user account based on at least one of a first impression score, a first age score, or a first gender score; determine a second total score for a second panelist associated with the panelist user account based on at least one of a second impression score, a second age score, or a second gender score; and in response to determining that the first total score satisfies a threshold, store demographics of the first panelist for the panelist user account.
An example apparatus disclosed herein includes a data input interface to access different sets of initial adjustment factors, the initial adjustment factors generated to correct at least one of misattribution or non-coverage of media impressions logged by a database proprietor, a grouping controller to identify a first set of the initial adjustment factors as a set of donor adjustment factors based on (a) first audience members associated with the set of donor adjustment factors satisfying a first threshold and (b) first impressions associated with the first audience members satisfying a second threshold, and identify a second set of the initial adjustment factors as a set of recipient adjustment factors, and an imputation factor generator to generate imputation factors to correct ones of the recipient adjustment factors based on ones of the donor adjustment factors.
Methods, apparatus, systems and articles of manufacture to determine whether a smart device is in-tab are disclosed. An example apparatus includes a labelled data generator to identify a first smart television that corresponds to a first panelist by comparing first data from the first smart television to second data from the first panelist; and generate training data by labelling the first smart television as in-tab or out-of-tab based on the second data from the first panelist; and a model trainer to train a model using the training data, the model trainer to train the model to determine a tab status for a second smart television.
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
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 21/434 - 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 21/4385 - Multiplex stream processing, e.g. multiplex stream decrypting
39.
METHODS AND APPARATUS TO DETERMINE VIRTUAL WIFI DATA RATE
Methods, apparatus, systems and articles of manufacture are disclosed to determine virtual WiFi data rate. An example disclosed herein includes a control frame receiver to capture control frames from a user device. The example disclosed herein further includes a bitrate calculator to calculate a bitrate for each control frame by dividing a bitmap of a control frame by an amount of time between the control frame and a previously captured control frame. The example disclosed herein further includes an interval timer to control a length of time that the control frames are captured before calculating the virtual bandwidth. The example disclosed herein further includes a virtual bandwidth calculator to calculate the virtual bandwidth after the length of time, the virtual bandwidth calculated by dividing an average bitrate from the control frames by the length of time.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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 21/61 - Network physical structure; Signal processing
H04N 21/6373 - Control signals issued by the client directed to the server or network components for rate control
Methods, apparatus, systems and articles of manufacture are disclosed to monitor on-demand media. Example apparatus disclosed herein include a metadata collection controller to collect metadata associated with on-demand media in response to publication of the on-demand media. Disclosed example apparatus also include a download controller to download the on-demand media. Disclosed example apparatus further include a signature generator to generate one or more signatures representative of the on-demand media, and store a profile of the on-demand media in a data storage, the profile including the one or more signatures and the metadata associated with the on-demand media.
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
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 21/4405 - 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 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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
Methods, apparatus, systems and articles of manufacture are disclosed to measure media consumption. An apparatus includes a controller to trigger execution of a request to obtain media from an Internet site, and a reference signature generator to identify a set of domain names generated during the execution of the request, and generate a reference signature based on (a) the set of domain names and (b) one or more of a location of the request, a time of the request, or a characteristic of a device used to execute the request.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
42.
METHODS AND APPARATUS TO ENCRYPT MEDIA FOR IDENTIFICATION
Methods, apparatus, systems and articles of manufacture are disclosed to encrypt media for identification. An example apparatus includes a mesh generation controller to generate a mesh based on an encryption matrix; an overlap controller to eliminate overlapping ones of edge connections of the mesh; an edge labelling controller to generate random labels for the edge connections based on a number of remaining ones of the edge connections of the mesh; an encrypted value controller to generate encrypted values based on the random labels; and an encryption controller to encrypt an input matrix with the encrypted values to enable identification of the input matrix.
H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
G09C 1/02 - Apparatus or methods whereby a given sequence of signs, e.g. an intelligible text, is transformed into an unintelligible sequence of signs by transposing the signs or groups of signs or by replacing them by others according to a predetermined system by using a ciphering code in chart form
H04N 21/2347 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs involving video stream encryption
43.
CONTENT-MODIFICATION SYSTEM WITH FEATURE FOR DETECTING AND RESPONDING TO A CONTENT MODIFICATION BY A TUNER DEVICE
In one aspect, a method is performed by a computing system that is in communication with a content-presentation device, where the content-presentation device is scheduled to perform, at a modification start-time, a content-modification operation that comprises modifying a modifiable content-segment that the content-presentation device is scheduled to receive. The method includes determining that the content-presentation device has detected, within a predefined time period after the modification start-time and during performance of the content-modification operation, a mismatch between reference fingerprint data representing the modifiable content-segment and query fingerprint data representing content received by the content-presentation device from a tuner device connected to the content-presentation device. The method also includes determining that the mismatch is due to the tuner device having modified the modifiable content-segment before the modification start-time and, in response to determining that the mismatch is due to the tuner device having modified the modifiable content-segment before the modification start-time, performing an action.
Methods, apparatus, systems, and articles of manufacture are disclosed to estimate population reach from marginals. An example apparatus includes memory including computer readable instructions; and a processor to execute the instructions to: iteratively converge on an output estimate of a pseudo universe estimate of a recorded audience of first media based on (A) a recorded reach for the recorded audience of the first media and (B) first marginal ratings for the recorded audience of the first media; determine a panel representation value based on the pseudo universe estimate of the recorded audience of the first media; and iteratively converge on an output estimate of a final reach of second media for a population audience based on the panel representation value and second marginal ratings for the population audience of the second media.
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 21/258 - 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
H04H 60/33 - Arrangements for monitoring the users' behaviour or opinions
45.
SIGNATURE MATCHING WITH METER DATA AGGREGATION FOR MEDIA IDENTIFICATION
Example apparatus disclosed herein to implement signature matching with meter data aggregation for use in media identification applications include a match job aggregator to aggregate batches of meter data from a meter to form aggregated meter data associated with the meter, and a hash matcher to identify a valid hash key match between meter hash keys generated from meter signatures in the aggregated meter data and reference hash keys corresponding to a collection of media assets. Disclosed example apparatus also include a signature matcher to align, based on the valid hash key match, a sequence of reference signatures corresponding to a first media asset associated with the valid hash key match and a corresponding sequence of the meter signatures, and compare the sequence of reference signatures and the corresponding sequence of meter signatures to identify media represented by at least a portion of the sequence of the meter signatures.
H04H 60/64 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for providing detail information
H04H 60/37 - Arrangements for identifying or recognising characteristics with a direct linkage to broadcast information or to broadcast space-time, e.g. for identifying broadcast stations or for identifying users for identifying segments of broadcast information, e.g. scenes or extracting programme ID
H04H 60/48 - Arrangements for identifying or recognising characteristics with a direct linkage to broadcast information or to broadcast space-time, e.g. for identifying broadcast stations or for identifying users for recognising items expressed in broadcast information
H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
46.
METHODS AND APPARATUS TO PREDICT IN-TAB DROP USING ARTIFICIAL INTELLIGENCE
Methods, apparatus, systems and articles of manufacture to predict in-tab drop using artificial intelligence are disclosed. An example apparatus includes an interface to obtain (A) contextual data obtained from servers and (B) validated in-tab totals, the validated in-tab totals corresponding to a number of meters in a location that have transmitted metering data within a threshold duration of time; a filter to filter at least one of the contextual data based on the location; and a model trainer to train a model using filtered contextual data and the validated in-tab totals, the model trainer to train the model to estimate an in-tab total for the location based on input contextual data corresponding to the location.
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 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
Methods, apparatus, systems, and articles of manufacture to estimate cardinality of users represented in arbitrarily distributed bloom filter arrays are disclosed. An apparatus includes a communications interface to obtain a first Bloom filter array generated by a first computer of a first database proprietor and obtain a second Bloom filter array generated by a second computer of a second database proprietor. The apparatus includes a cardinality analyzer to estimate a total number of unique users included in a union of corresponding ones of the first and second users represented in the first and second Bloom filter arrays regardless of whether the first and second users are mapped, based on a first distribution or a second distribution different than the first distribution, to the corresponding first and second Bloom filter arrays.
An example apparatus includes an advertisement determiner to identify a first plurality of respondents that received an addressable advertisement and a second plurality of respondents that received a linear advertisement based on combined program tuning data and reference advertisement data; a calculator to calculate a first average commercial minute rating for the addressable advertisement based on first duration weighted impressions associated with the first plurality of respondents and a second average commercial minute rating for the linear advertisement based on second duration weighted impressions associated with the second plurality of respondents; and a communication interface to transmit the first average commercial minute rating and the second average commercial minute rating for crediting the addressable advertisement and the linear advertisement with audience viewership metrics.
Methods and apparatus for analyzing an internet audience are disclosed. An example method includes: obtaining, by executing an instruction with a processor, measurements corresponding to a user in a geographic area; generating, by executing an instruction with a processor, a plurality of metrics corresponding to the measurements for the user in the geographic area, the plurality of metrics corresponding to an Internet maturity; assigning, by executing an instruction with a processor, a weight to the plurality of metrics; determining, by executing an instruction with a processor, a first Internet maturity index for the user of the geographic area; and determining, by executing an instruction with a processor, an Internet maturity index for the geographic area based on combining the first Internet maturity index with other Internet maturity indices for other users in the geographic area, the Internet maturity index to be utilized to operate audience measurement computing systems.
Example methods, apparatus, systems, and articles of manufacture are disclosed for network-based monitoring and serving of media to in-vehicle occupants. An example method includes linking panelist data corresponding to media exposure to first telemetry data collected by a vehicle to create linked panelist-telemetry data; and training a neural network to estimate vehicle occupant demographics based on second telemetry data using a first subgroup of the linked panelist-telemetry data.
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 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
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 21/414 - Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
Example methods, apparatus, systems and articles of manufacture to implement an addressable measurement framework are disclosed. Example apparatus disclosed herein perform a common homes analysis of provider data and panel data to determine a coverage footprint associated with the provider data, the provider data including at least one of return path data reported by a plurality of set-top boxes or automatic content recognition data reported by a plurality of smart media devices, and the panel data reported by media device meters. Disclosed example apparatus also weight a portion of the provider data based on the common homes analysis, weight a portion of the panel data based on the common homes analysis, and calculate an addressable advertisement rating based on the weighted portion of the provider data and the weighted portion of the panel data.
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 21/458 - Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
Methods, apparatus, systems and articles of manufacture for identifying streaming sessions are disclosed. An example apparatus includes an audience measurer to determine an identifier for a commercial presented at a media presentation device, and to determine a time at which the commercial was presented. The example apparatus also includes a log analyzer to compare the identifier and the time to a streaming session log from a streaming service provider (SSP) to identify a streaming session in which the commercial associated with the identifier was presented at the time. The example apparatus also includes a panelist matcher to associate, based on the comparison, a panelist identifier with a streaming session identifier corresponding to the streaming session.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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 21/45 - 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 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
Example methods, apparatus, systems and articles of manufacture to implement underaddressable advertisement measurement are disclosed. Example apparatus disclosed herein determine a tuned under-addressable advertisement duration and a total tuned advertisement duration for a first television broadcast at a first monitored site, the tuned under-addressable advertisement duration and the total tuned advertisement duration determined based on (i) returnpath tuning data associated with the first monitored site, (ii) linear advertisement log data associated with a broadcast area including the first monitored site, and (iii) addressable advertisement log data associated with the first monitored site. Disclosed example apparatus also determine an under-addressable advertisement factor for the first television broadcast based on the tuned under-addressable advertisement duration and the total tuned advertisement duration, and adjust an input advertisement rating for the first television broadcast based on the under-addressable advertisement factor to determine an under-addressable advertisement rating for the first television broadcast.
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 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
Methods, apparatus, systems and articles of manufacture are disclosed to monitor streaming media. An example apparatus includes a media calibrator to calibrate video data to a calibration time-base based on audio data, the video data and audio data associated with a media stream and a signature generator to generate a signature representative of the media stream based on the calibrated video data.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
H04N 21/439 - Processing of audio elementary streams
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 21/4402 - 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 21/845 - Structuring of content, e.g. decomposing content into time segments
Apparatus, devices, systems, methods, and articles of manufacture are disclosed for watermarking with phase shifting. An example watermark decoding apparatus includes a component detector to identify watermark components in a media signal and detect phases of the respective ones of the watermark components in the media signal. The example apparatus also includes a phase reference determiner to identify a phase reference for the watermark components. The example apparatus also includes a phase comparator to perform comparisons of the phases of the respective ones of the watermark components with the phase reference. The example apparatus also includes a phase shift determiner to determine phase shifts associated with respective ones of the watermark components based on the comparisons. In addition, the example apparatus also includes a symbol determiner to determine a symbol based on the phase shifts.
H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/4385 - Multiplex stream processing, e.g. multiplex stream decrypting
Methods, apparatus, systems and articles of manufacture are disclosed to reduce a remapping error. An example apparatus includes a distance matrix generator to generate a distance matrix corresponding to a first household demographic model and a second household demographic model. The example apparatus also includes a distance matrix identifier to determine a reassignment distance of the distance matrix. The example apparatus also includes a person identification assigner to, in response to the reassignment distance being less than a reassignment threshold, assign a person identification number of a first person of the first household to a second person of the second household based on the distance matrix.
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 21/45 - 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 21/41 - Structure of client; Structure of client peripherals
57.
METHODS AND APPARATUS FOR SESSION BUILDING FROM PING-LEVEL DATA
Methods, apparatus, systems and articles of manufacture to build viewing sessions from ping-level data are disclosed herein. An example apparatus includes a threshold calculator to determine a threshold based on reference sessions represented in panel data obtained from panel meters. The example apparatus also includes a session partitioner to determine if a first ping from a device corresponds to a start ping of the session and a second ping from the device corresponds to an end ping of the session based on (i) the threshold, (ii) first payload data from the first ping, and (iii) second payload data from the second ping. The example apparatus includes the session partitioner to also determine a duration of the session based on a difference between a first time associated with the first ping and a second time associated with the second ping.
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 21/258 - 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
58.
METHODS, SYSTEMS AND APPARATUS TO ESTIMATE CENSUS-LEVEL AUDIENCE SIZE AND TOTAL IMPRESSION DURATIONS ACROSS DEMOGRAPHICS
Methods, apparatus, and systems are disclosed for determining census-level audience metrics across demographics. An example apparatus disclosed herein includes a distribution parameter solver to initialize distribution parameter values for a probability of an individual within a demographic being included in a subscriber audience for the demographic and having a first average impression duration, the subscriber audience having a first subscriber audience size, a divergence parameter solver to determine divergence parameter values between (i) the subscriber audience size and the first impression duration and (ii) a census-level audience size and a second impression duration based on the initialized distribution parameter values, and a search space identifier to identify a search space within bounds based on a census-level total impression count and a census-level total impression duration, the search space to define a range including an equality constraint.
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 21/258 - 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
59.
METHODS, SYSTEMS AND APPARATUS TO ESTIMATE CENSUS-LEVEL AUDIENCE, IMPRESSIONS, AND DURATIONS ACROSS DEMOGRAPHICS
Methods, apparatus, and systems are disclosed for determining census-level audience metrics across demographics. An example apparatus disclosed herein includes a distribution parameter solver to initialize distribution parameter values for a probability of an individual within a demographic being included in a subscriber audience for the demographic, having a first average impression count, and having a first average impression duration, the subscriber audience having a first subscriber audience size, a divergence parameter solver to determine divergence parameter values between (i) the subscriber audience size, the first impression count, and the first impression duration and (ii) a census-level audience size, a second impression count, and a second impression duration based on the initialized distribution parameter values, a search space identifier to identify a search space within bounds based on a census-level total impression count and a census-level total impression duration, the search space to define an equality constraint.
Methods, systems, articles of manufacture, and apparatus are disclosed to map client specifications to standardized characteristics. An example apparatus includes a cluster identifier to cluster client databases into client clusters based on a threshold quantity of overlapping universal product codes (UPCs) between respective ones of the client databases, a characteristic analyzer to identify custom characteristics from the respective ones of the client clusters, ones of the custom characteristics having dissimilar nomenclature, and a graph builder to cluster the ones of the custom characteristics based on a similarity metric, and normalize the ones of the custom characteristics as a proxy characteristic, the proxy characteristic having a common nomenclature to represent the ones of the custom characteristics, the characteristic analyzer to enable improved product marketing analysis by replacing dissimilar nomenclature with the proxy characteristic.
Methods, apparatus, systems and articles of manufacture are disclosed for receipt decoding. An example apparatus for processing a receipt associated with a user disclosed herein includes an optical character recognition engine to generate bounding boxes, respective ones of the bounding boxes associated with groups of characters detected in the receipt, the bounding boxes including a first bounding box, a second bounding box and a third bounding box, a word connector to connect the first bounding box to the second bounding box based on (1) an adjacency of the first bounding box to the second bounding box and (2) a difference value from a comparison of a location of the first bounding box to a location of the second bounding box, a line connector to form a line of the ones of the bounding boxes by connecting the third bounding box to the second bounding based on a relationship between the first bounding box and the second bounding box, the line of the ones of the bounding boxes indicative of related receipt fields, and a creditor to generate a report based on the line.
Methods, apparatus, systems, and articles of manufacture are disclosed to identify media for ahead of time watermark encoding. An example apparatus includes a processor to determine a first identifier associated with first media based on a query including the first identifier, a first scheduled broadcast time of the first media, and a first duration of the first media; and a comparator to: in response to determining a database includes a second identifier associated with second media, determine whether a second duration of the second media at a second scheduled broadcast time overlaps the first duration of the first media at the first scheduled broadcast time; and in response to determining that the second duration of the second media at the second scheduled broadcast time does not overlap the first duration of the first media at the first scheduled broadcast time, store the first identifier in the database.
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
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 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
63.
METHOD AND SYSTEM FOR USE OF AUTOMATIC CONTENT RECOGNITION TO TRIGGER DYNAMIC AD INSERTION IN RESPONSE TO REPEAT PLAYOUT OF AD
A computing system detects, through automatic content recognition (ACR), that a particular ad has been presented threshold many times by a set of one or more content presentation devices, such as a single content presentation device or multiple content presentation devices associated with a common user. And responsive to the detecting, the computing system implements dynamic ad insertion (DAI) to automatically substitute presentation of a replacement ad for presentation of the particular ad a next time the particular ad would be presented by a content presentation device of the set. Optimally, the process could thereby help to avoid continued monotonous presentation of the same ad by the set of one or more content presentation devices.
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
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
64.
CONTENT-MODIFICATION SYSTEM WITH DELAY BUFFER FEATURE
In one aspect, a method includes an input buffer receiving content; accessing the content from the input buffer and extracting from the accessed content, in-band message data that indicates a start time associated with a content-modification opportunity for a content-presentation device; the input buffer transmitting the content to a delay buffer; the delay buffer receiving the content from the input buffer and, after a delay time-period, transmitting the content to an output buffer; the output buffer receiving the content from the delay buffer and outputting for presentation a portion of the content; and after outputting for presentation the portion of the content and proximate a time-point associated with the indicated start-time, starting to perform a content-modification operation in connection with the content- modification opportunity.
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 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
In one aspect, a method includes (i) identifying a plurality of upcoming content-modification opportunities for a content-presentation device, each respective content-modification opportunity corresponding to a respective underlying advertisement that is available for replacement by a respective supplemental advertisement; (ii) using the identified upcoming content-modification opportunities as a basis for determining expected values for a plurality of supplemental advertisements; (iii) selecting a subset of supplemental advertisements from among the plurality of supplemental advertisements based on the subset having expected values above a threshold value; (iv) in advance of the upcoming content- modification opportunities, sending the subset of supplemental advertisements to be locally stored at the content-presentation device; and (v) upon occurrence of one of the content-modification opportunities, causing the content-presentation device to replace one of the respective underlying advertisements with one of the locally stored supplemental advertisements.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
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 21/458 - Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
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 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
66.
CONSENT MANAGEMENT SYSTEM WITH CONSENT REQUEST PROCESS
A method may include receiving a consent-processing request at a consent management platform from a content-presentation device, and using an identifier string in the request to establish a secure interactive session configured for user selection of consent options associated with a particular consent package of the platform, where the package may include identifiers of consent features of a media distribution system that require user consent in order to be activated for the device. The platform may then receive, via the interactive session, user consent data including a respective consent choice for each of one or more consent options, where each respective consent choice indicates acceptance or rejection of consent to activating an associated consent feature identified with the particular consent package. The received respective consent choices may be stored in a database of the consent management platform. Corresponding data may be stored in a whitelist on the content-presentation device.
G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G06F 21/30 - Authentication, i.e. establishing the identity or authorisation of security principals
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
H04L 29/06 - Communication control; Communication processing characterised by a protocol
A method may include receiving a registration request at a server of a consent management platform from a content-presentation device, and using an authentication certificate in the request to establish a secure communicative connection. The server may generate: a global ID (GID) from information received over the secure connection; a device- based device record for the device, and including the GID and a unique address indicator; and a cryptographically-signed token. The GID, device record, and token may be transmitted to the device. The unique address indicator may be associated with consent packages having features of a media distribution system that require user consent to associated agreements for activation on the device. The server may generate a server-based device record duplicating the device-based device record, and including the consent packages and indicators of consent agreement status initialized to undeclared. The server may store the server-based device record in a flat database.
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
H04L 29/06 - Communication control; Communication processing characterised by a protocol
68.
CONSENT MANAGEMENT SYSTEM WITH CHECK-IN AND SYNCHRONIZATION PROCESS
A method may include receiving a check-in request at a server of a consent management platform from a content-presentation device. The request may by or include an authentication certificate for establishing a secure communicative connection, A device token cryptographically-signed by the server, a global identifier (GID) unique to the content- presentation device, and a device-based device record may be received over the secure communicative connection. The server may retrieve a server-based device record for the device from a flat database using the GID as an index key, and then compare a device-based sequence number in the device-based device record with a server-based sequence number in the server-based device record. If the sequence numbers match, the server may send a check-in complete message to the content-presentation. If the sequence numbers do not match, the server may initiate a synchronization procedure with the content-presentation device.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
A method may include a consent manager server of a consent management platform retrieving from a file server a consent-package file identifying a consent package and including information for establishing a secure interactive session with a content-presentation device for selecting consent-agreement options associated with consent features of a media distribution system that require consent to be activated for the device. Receiving input (i) specifying consent agreements for the package and associated text descriptions of the agreements, (ii) associating devices with the package, (iii) specifying a jurisdiction for the agreements, and (iv) designating features of the package as active. The package file may be updated with the input and re- stored in the file server. Responsive a consent-processing request from a content- presentation device, an interactive session may be established with the device for receiving user consent choices. Features of the package to which user consented may be activated for the device.
G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
H04L 29/06 - Communication control; Communication processing characterised by a protocol
In one aspect, a method carried out by a content-presentation device may include transmitting a consent-processing request, including an identifier string unique to the device, to a consent management platform disposed in a computing cloud. The string may be used to establish an interactive session for user selection of consent options associated with a consent package having consent features of a media distribution system that require user consent for activation on the device. The consent package may be one of multiple consent packages targeted for the device by the consent management platform. The interactive session may prompt for consent choices of consent options, each choice being acceptance or rejection of consent to activating features of the consent package. The consent choices may be provided to the consent management platform via the interactive session, and corresponding information may be stored in a device-based activation whitelist for each consent-to feature.
G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
H04L 29/06 - Communication control; Communication processing characterised by a protocol
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
71.
DYNAMIC AD INSERTION DECISION-MAKING FOR LINEAR LIVE TV
Example methods and systems for ad insertion decision-making comprise: identifying an ad insertion opportunity in which an underlying advertisement is available for replacement by an addressable advertisement; determining a first expected revenue corresponding to presentation of the addressable advertisement and a first expected cost corresponding to presentation of the addressable advertisement, wherein the first expected cost is based on a current pacing of an advertisement campaign of the addressable advertisement; determining a second expected revenue corresponding to presentation of the underlying advertisement and a second expected cost corresponding to presentation of the underlying advertisement, wherein the second expected cost is based on a current pacing of an advertisement campaign of the underlying advertisement; determining an expected value of the ad insertion based on the first and second expected revenues and the first and second expected costs; and causing performance of the ad insertion based on the expected value.
H04N 21/458 - Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
H04N 21/4784 - Supplemental services, e.g. displaying phone caller identification or shopping application receiving rewards
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
72.
METHODS AND APPARATUS FOR AFFILIATE INTERRUPT DETECTION
Methods, apparatus, systems and articles of manufacture are disclosed for affiliate interrupt detection. An example method disclosed herein includes determining whether a first time period of a first audio signal corresponds to a first affiliate interrupt period based on whether (1) a first type of watermark is detected in the first time period of the first audio signal, and (2) a second type of watermark is detected in the first audio signal outside the first time period but not in the first time period of the first audio signal, and determining whether the first time period of the first audio signal corresponds to the first affiliate interrupt period when watermarks are not detected in the first time period of the first audio signal based on comparison of first signatures with second signatures representing a corresponding first time period of a reference audio signal.
G10L 19/018 - Audio watermarking, i.e. embedding inaudible data in the audio signal
G10L 19/008 - Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
Example levitating meter apparatus are disclosed. An example metering system includes a meter having a display to present indicia associated with a panelist, the meter having a microphone to receive audio output from the media device and circuitry to perform media monitoring. The example metering system includes a base having a cavity to receive at least a portion of the meter, the meter to magnetically levitate relative to the base to decouple the meter from the base.
H04N 21/439 - Processing of audio elementary streams
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 21/422 - Input-only peripherals, e.g. global positioning system [GPS]
G01G 7/02 - Weighing apparatus wherein the balancing is effected by magnetic, electromagnetic, or electrostatic action, or by means not provided for in groups by electromagnetic action
74.
METHOD AND SYSTEM FOR RE-UNITING METADATA WITH MEDIA-STREAM CONTENT AT A MEDIA CLIENT, TO FACILITATE ACTION BY THE MEDIA CLIENT
In a communication system where a channel feed carrying a media stream is broadcast for delivery of the media stream to a media client, where the channel feed further includes metadata in-band and correlated with a content frame of the media stream, but where the metadata gets removed from the channel feed before the media stream reaches the media client, a computing system (i) extracts the metadata from the channel feed and (ii) transmits out-of-band to the media client the extracted metadata in correlation with reference fingerprint data representing the frame of the media stream, the correlation being useable by the media client as a basis to re-correlate the metadata with the frame of the media stream, so as to enable the media client to carry out an action, such as dynamic ad insertion, based on the correlation of the metadata with the frame of the media stream.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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 21/8547 - Content authoring involving timestamps for synchronizing content
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
75.
USE OF IN-BAND METADATA AS BASIS TO ACCESS REFERENCE FINGERPRINTS TO FACILITATE CONTENT-RELATED ACTION
As a media client receives a media stream for presentation, the media client could receive, in-band with the media stream, metadata identifying the media stream, such as a media-stream identifier encoded as a watermark in the media stream or carried together with the media stream in a packet-based transport stream, among other possibilities. And while the media client is processing the media stream for presentation, the media client could then convey the received metadata out-of-band to a server to enable the server to readily obtain reference fingerprints representing the media stream and to thereby facilitate, based on the reference fingerprints, a content-related action such as dynamic content modification for instance.
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
76.
METHODS AND APPARATUS TO ESTIMATE CENSUS LEVEL IMPRESSIONS AND UNIQUE AUDIENCE SIZES ACROSS DEMOGRAPHICS
An example apparatus to determine census-based audience metrics of media across multiple demographics includes an audience size determiner to determine a first census-level audience size based on a third-party audience size, a third-party impression count, and a first cross-demographic total census parameter value; an impression counts determiner to determine a first census-level impression count based on the third-party audience size, the third-party impression count, and the first cross demographic total census parameter value; and a verifier to determine whether the first cross-demographic total census parameter value satisfies a constraint based on the first census-level impression count; and when the constraint is not satisfied the verifier to: (a) discard the first cross-demographic total census parameter value, and (b) select a second cross-demographic total census parameter value, the second cross-demographic total census parameter value to determine a second census-level audience size and a second census-level impression count to satisfy the constraint.
Methods, apparatus, systems and articles of manufacture are disclosed for multimodal audience detection and identification. An example apparatus disclosed herein includes a signal strength value selector to select a portion of a set of signal strength values associated with advertising packets from a device associated with a user, the advertising packets captured by a multi-axis receiver on a plurality of different signal polarizations, a signal strength calculator to calculate a first representative signal strength value based on the selected portion of signal strength values, and a presence determiner to determine a presence of the user based on whether the first representative signal strength value satisfies a threshold.
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 21/422 - Input-only peripherals, e.g. global positioning system [GPS]
H04H 60/33 - Arrangements for monitoring the users' behaviour or opinions
78.
ONBOARDING OF RETURN PATH DATA PROVIDERS FOR AUDIENCE MEASUREMENT
Example methods and apparatus to onboard return path data providers for audience measurement are disclosed herein. Example apparatus disclosed herein to predict return path data quality include a classification engine to compute a first data set of model features from validation tuning data reported from media metering devices and a second data set of model features from return path data reported from return path data devices. The example apparatus also include a prediction engine to train a machine learning algorithm based on the first data set, apply the trained machine learning algorithm to the second data set to predict quality of the return path data reported from the return path data devices, and determine an onboarding status for a return path data provider based on an aggregate predicted quality of the return path data reported from the return path data devices.
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04H 60/33 - Arrangements for monitoring the users' behaviour or opinions
H04H 60/65 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for using the result on users' side
Methods, apparatus, systems and articles of manufacture are disclosed for wear noise audio signature suppression. An example method disclosed herein includes generating an audio signature based on a media audio signal during a first time period, collecting acceleration data during the first time period, determining whether the acceleration data corresponds to wear noise having occurred during the first time period, and in response to determining the acceleration data corresponds to wear noise during the first time period, inhibiting transmission of the audio signature to a central facility.
In one aspect, a method includes (i) accessing, by a computing system, broadcast- schedule data associated with a channel; (ii) using, by the computing system, the accessed broadcast-schedule data to identify an upcoming content-modification opportunity on the channel; (iii) determining, by the computing system, that a content-presentation device is receiving content on the channel; (iv) determining, by the computing system, a content- transmission delay associated with the content-presentation device and the channel; and (v) causing, by the computing system, the content-presentation device to perform an action to facilitate the content-presentation device performing, during a time-period that accounts for the determined content-transmission delay, a content-modification operation related to the identified upcoming content-modification opportunity on the channel.
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
The disclosure provides for use of watermarking as a basis control abandonment of dynamic content modification. Upon detecting of the occurrence of a trigger event for causing a content presentation device to abandon a dynamic content modification with respect to a media stream being delivered to the content presentation device, an entity encodes into the media stream an abandonment-watermark interpretable by the content presentation device to cause the content presentation device to abandon the dynamic content modification. The content presentation device then detects the abandonment-watermark in the media stream being received by the content presentation device and in response to the abandonment-watermark, abandons the dynamic content modification.
Methods, apparatus, systems and articles of manufacture to classify all other tuning (AOT) data are disclosed. An example apparatus includes a media interface to access first channel information corresponding to a first record at a first time. An operating state identifier is to store the channel information corresponding to the first record at the first time in a data store. An AOT identifier is to determine the first record is classified as AOT data. A comparator is to compare the channel information at the first time with second channel information at a second time, wherein the second channel information at the second time corresponds to a previously classified media record. A record updater is to, when the first channel information matches the second channel information, update the first record with a media identification from the matched classification classified media record and store the updated first record in the data store.
H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
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 21/439 - Processing of audio elementary streams
H04N 21/4363 - Adapting the video stream to a specific local network, e.g. a IEEE 1394 or Bluetooth® network
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
83.
CONTENT-MODIFICATION SYSTEM WITH BROADCAST SCHEDULE UTILIZATION FEATURE
In one aspect, a method includes (i) accessing broadcast-schedule data associated with a channel; (ii) using the accessed broadcast-schedule data to identify an upcoming content- modification opportunity on the channel; and (iii) responsive to identifying the upcoming content-modification opportunity on the channel, performing an action to facilitate performing a content-modification operation related to the identified upcoming content-modification opportunity on the channel, wherein performing the action comprises causing in-band message data to be inserted into at least a portion of a content segment that is being transmitted by a content-distribution system on the channel.
H04N 21/458 - Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
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 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/475 - End-user interface for inputting end-user data, e.g. PIN [Personal Identification Number] or preference data
84.
CONTENT-MODIFICATION SYSTEM WITH BROADCAST SCHEDULE UTILIZATION FEATURE
In one aspect, a method includes (i) receiving query fingerprint data representing content transmitted by a content-distribution system on a channel; (ii) comparing the received query fingerprint data with multiple reference fingerprint data sets, wherein each of the multiple reference fingerprint data sets corresponds with a different respective content segment; (iii) based on the comparing, detecting a respective match between the received query fingerprint data and reference fingerprint data in each of the multiple reference fingerprint data sets; (iv) accessing broadcast-schedule data associated with the channel; (v) using the accessed broadcast-schedule data to identify which one of the different respective content segments is being transmitted by the content-distribution system on the channel, thereby identifying a corresponding upcoming content modification opportunity on the channel; and (vi) performing an action to facilitate performing a content modification operation related to the identified upcoming content-modification opportunity on the channel.
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 21/458 - Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to deduplicate common devices across multiple data sources are disclosed. An example system includes a comparison controller to identify a first device in a first data source and a second device in a second data source as a possible common device. The example system also includes a first metric calculator to calculate a station duration metric based on first station duration data and second station duration data, the first station duration data associated with a first set of durations of time that the first device tuned to a first set of stations, the second station duration data associated with a second set of durations of time that the second device tuned to the first set of stations; a second metric calculator to calculate a time match metric based on first time data and second time data, the first time data associated with a first set of times of day that the first device tuned to a second set of stations, the second time data associated with a second set of times of day that the second device tuned to the second set of stations, the first set of times of day overlapping with the second set of times of day; and a third metric calculator to calculate a station path metric based on a first sequence of stations tuned to by the first device and a second sequence of stations tuned to by the second device. The example system also includes a comparison scorer to determine a joint score based on the station duration metric, the time match metric, and the station path metric; and a common device selector to determine when the first device and the second device are a common device based on the joint score.
G06F 21/73 - Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure computing or processing of information by creating or determining hardware identification, e.g. serial numbers
G06F 17/18 - Complex mathematical operations for evaluating statistical data
86.
PROBABILISTIC MODELING FOR ANONYMIZED DATA INTEGRATION AND BAYESIAN SURVEY MEASUREMENT OF SPARSE AND WEAKLY-LABELED DATASETS
Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to perform probabilistic modeling for anonymized data integration and measurement of sparse and weakly-labeled datasets are disclosed. An apparatus includes a training controller to train a neural network to produce a trained neural network to output model parameters of a probability model, a model evaluator to execute the trained neural network on input data specifying a time of day, a media source, and at least one feature different from the time of day and the media source to determine one or more first model parameters of the probability model, and a ratings metric generator to evaluate the probability model based on input census data to determine a ratings metric corresponding to the time of day, the media source, and the at least one feature, the probability model configured with the one or more first model parameters.
G06N 3/04 - Architecture, e.g. interconnection topology
G06N 7/00 - Computing arrangements based on specific mathematical models
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 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04H 60/31 - Arrangements for monitoring the use made of the broadcast services
87.
METHODS, SYSTEMS, ARTICLES OF MANUFACTURE AND APPARATUS TO DETERMINE HEADROOM METRICS FROM MERGED DATA SOURCES
Methods, apparatus, systems and articles of manufacture are disclosed to determine headroom. An example apparatus disclosed herein includes a data retriever to retrieve a first data set and a second data set, the first and second data sets including observations, an overlap calculator to merge respective ones of the observations to form an overlap data set, the respective ones of the observations merged based on first tier parameters, a similarity calculator to calculate similarity scores for pairs of the respective ones of the observations in the overlap data set, the similarity7 score based on second tier parameters, and a data joiner to associate respective ones of the similarity' scores with corresponding households associated with the respective ones of the observations.
Use of watermarking in a media stream as a trigger for carrying out a fingerprint- related action, such as starting to generate fingerprints of the media stream, increasing a rate of generation of fingerprints of the media stream, starting to report fingerprints of the media stream, requesting fingerprints, or engaging in a fingerprint comparison, In an implementation, a media client that is processing the media stream could detect the watermark in the media stream and could responsively carry out or cause to be carried out a fingerprint-related action. Or an entity in a media-distribution path along which the media stream flows to a media client could detect the watermark in the media stream and could responsively carry out or cause to be carried out a fingerprint-related action. Further, the watermark could be inserted into the media stream in the first place based on transport-stream carried metadata, among other possibilities.
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
89.
USE OF STEGANOGRAPHICALLY-ENCODED TIME INFORMATION AS BASIS TO CONTROL IMPLEMENTATION OF DYNAMIC CONTENT MODIFICATION
A method and system for controlling implementation of dynamic content modification. The disclosure provides for using at least one steganographically-encoded timestamp in a media stream transmitted to a media client as a basis to determine a transmission delay for media-stream transmission to the media client, and for providing the determined transmission delay as a basis to facilitate control over whether to have the media client implement dynamic content modification. In addition, the disclosure provides for receiving respectively from each of various media clients a report indicating transmission delay determined for the media client based on such steganographically-encoded timestamp data, and using the transmission delays for the media clients to establish a dynamic-content- modification footprint that could be used to control whether, where, and to what extent dynamic content modification will be applied.
A method and system for using steganographically-encoded time information as a basis to control when a client carries out a content-related action. The client processes for presentation one or more linear media streams, each defining a respective time sequence of frames of media content, and at least one of the streams being steganographically encoded with at least one watermark at a respective time-point within linear media stream, the watermark encoding a timestamp of the respective time-point within the linear media stream according to a server clock. The client extracts the timestamp from the watermark and computes a time offset based on a difference between the extracted timestamp and a current time according to a client clock. And the client uses the computed time offset as a basis to determine when the client should carry out a content-related action in a given one of the one or more linear media streams.
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 21/4385 - Multiplex stream processing, e.g. multiplex stream decrypting
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/8547 - Content authoring involving timestamps for synchronizing content
H04N 21/242 - Synchronization processes, e.g. processing of PCR [Program Clock References]
91.
METHODS AND APPARATUS TO PERFORM AN AUTOMATED GAIN CONTROL PROTOCOL WITH AMPLIFIER-BASED ON HISTORICAL DATA CORRESPONDING TO CONTEXTUAL DATA
Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. Example apparatus disclosed herein include a first controller to, in response to a trigger to identify an automatic gain control (AGC) parameter for an AGC protocol, determine the AGC parameter for the AGC protocol based on historical data corresponding to contextual data. Disclosed example apparatus also include a processor to perform the AGC protocol based on the selected AGC parameter. Disclosed example apparatus further include a second controller to update the historical data based on the contextual data and a result of the AGC protocol.
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 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
92.
METHODS AND APPARATUS TO DETERMINE AUTOMATED GAIN CONTROL PARAMETERS FOR AN AUTOMATED GAIN CONTROL PROTOCOL
Methods and apparatus to determine automated gain control parameters for an automated gain control protocol are disclosed. An example apparatus includes a first tuner to amplify an audio signal. Disclosed example apparatus also include a second tuner to amplify the audio signal. Disclosed example apparatus also include a first controller to tune the first tuner to apply a first gain representative of a first range of gains to the audio signal to determine a first amplified audio signal and tune the second tuner to apply a second gain representative a second range of gains to the audio signal to determine a second amplified audio signal, the second range of gains lower than the first range of gains. Disclosed example apparatus also include a second controller to select the first range of gains to be utilized in an automated gain control protocol when the first gain results in clipping of the first amplified audio signal and the second gain does not result in clipping of the second amplified audio signal.
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 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
93.
USE OF STEGANOGPRAHICALLY-ENCODED DATA AS BASIS TO DISAMBIGUATE FINGERPRINT-BASED CHANNEL-MULTI-MATCH
The disclosure provides for use of steganographically-encoded data as a basis to disambiguated a fingerprint-based channel-multimatch. A fingerprint-matching server or other entity could detect a channel -multi -match scenario by determining that query fingerprints representing media content being rendered by a content presentation device match reference fingerprints respectively representing multiple channels. In view of that detected channel -multi -match scenario, the content presentation device could then provide channel-identification information that the content presentation device extracts from a watermark that is steganographically encoded in the media content of the channel that the content presentation device is rendering, for use of the extracted channel-identification information to determine which channel the content presentation device is rendering. Identifying the channel being rendered could then facilitate channel-specific action, such as then detecting a content-modification opportunity on the identified channel and preparing and enabling the content presentation device to carry out an associated content modification.
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
94.
USE OF STEGANOGRAPBICALLY-ENCODED DATA AS BASIS TO CONTROL DYNAMIC CONTENT MODIFICATION AS TO AT LEAST ONE MODIFIABLE-CONTENT SEGMENT IDENTIFIED BASED ON FINGERPRINT ANALYSIS
The disclosure provides for use of steganographically-encoded data as a basis to control content modification. A server could determine through a fingerprint comparison that a portion of media content on a channel being rendered by a content presentation device matches at least one modifiable-content segment, such as at least one replaceable ad. The server could then use watermark data encoded in the media content of the channel as a basis to determine an actual identity of a modifiable-content segment present on the channel, so as to then control content modification.
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
Example methods disclosed herein include accessing common homes data for a group of common homes, the common homes data including return path data and panel meter data. Disclosed example methods also include accessing common homes data for a group of common homes, the common homes data including first return path data and corresponding panel meter data associated with respective ones of the common homes, grouping the common homes data into view segments, classifying the view segments based on whether the return path data in respective ones of the view segments has matching panel meter data to determine labeled view segments, generating features from the labeled view segments, training a machine learning algorithm based on the features, and applying second return path data to the trained machine learning algorithm to determine whether a media device associated with the second return path data is on or off.
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 21/443 - OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
In one aspect, a method for use in connection with a content-presentation device including a first input buffer, a second input buffer, and an output buffer, wherein the content- presentation device is configured such that content from either the first input buffer or the second input buffer can be communicated to the output buffer, includes: (i) receiving, from the content-presentation device, an identifier associated with the content-presentation device; (ii) using mapping data to map the received identifier to a baseline input-to-output delay, which represents a time-period between when content is input into the first input buffer and output by the output buffer; and (iii) transmitting, to the content-presentation device, the mapped baseline input-to-output delay to the content-presentation device to facilitate the content-presentation device (a) determining an input-buffer switching delay, and (b) using the determined input- buffer switching delay to facilitate performing a content-modification operation.
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
Methods, apparatus, systems and articles of manufacture are disclosed for facilitating network credential updates for media meters. An example method disclosed herein includes accessing a monitoring record from a media monitor received over secondary communication network, determining, by executing an instruction with at least one processor, an Internet protocol (IP) address associated with a primary communication network based on a household associated with the monitoring record, transmitting a request to the IP address and in response to not receiving a response from the IP address, transmitting a notification to a mobile device associated with the household, the notification indicating that a network credential associated with the media monitor is to be updated.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
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
H04H 60/59 - Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups or of video
H04H 60/66 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for using the result on distributors' side
Methods, apparatus, systems and articles of manufacture are disclosed for source classification using HDMI audio metadata. An example apparatus includes a metadata extractor to extract values of audio encoding parameters from HDMI metadata obtained from a monitored HDMI port of a media device, the HDMI metadata corresponding to media being output from the monitored HDMI port; map the extracted values of the audio encoding parameters to a first unique encoding class (UEC) in a set of defined UECs, different ones of the set of defined UECs corresponding to different combinations of possible values of the audio encoding parameters capable of being included in the HDMI metadata; and identify a media source corresponding to the media output from the HDMI port based on one or more possible media sources mapped to the first UEC.
H04N 21/4363 - Adapting the video stream to a specific local network, e.g. a IEEE 1394 or Bluetooth® network
H04N 21/439 - Processing of audio elementary streams
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
99.
METHODS AND APPARATUS TO IDENTIFY USER PRESENCE TO A METER
Methods, apparatus, systems and articles of manufacture are disclosed to identify user presence to a meter. An example apparatus includes a user input receiver to obtain presence information from a panelist via a prompt displayed by a user interface of the apparatus, the presence information indicating that the panelist is present at the meter separate from the apparatus, a configuration controller to package the presence information and insert an indication in the packaged presence information, the indication indicating the packaged information is to be sent to the meter via a remote server, and a wireless transceiver to transmit the packaged presence information to the remote server.
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 21/439 - Processing of audio elementary streams
100.
CONTENT-MODIFICATION SYSTEM WITH TESTING AND REPORTING FEATURE
In one aspect, a method is disclosed. The method includes identifying, by a content-presentation device, an upcoming content modification opportunity on an identified channel, where the identified upcoming content modification opportunity relates to a modifiable content-segment. The method also includes receiving, by the content-presentation device, the modifiable content-segment. The method further includes performing, by the content-presentation device, a set of operations to prepare the content-presentation device to perform a content-modification operation in connection with the identified upcoming content modification opportunity on the identified channel. The method additionally includes receiving, by the content-presentation device, an instruction to operate in a test mode. The method also includes responsive to receiving the instruction, outputting, by the content-presentation device, for presentation the modifiable content-segment without a modification that relates to supplemental content. The method further includes transmitting, by the content-presentation device, reporting data related to the performed set of operations.
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
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 17/02 - Diagnosis, testing or measuring for television systems or their details for colour television signals
patents
