Methods, apparatus, systems, and articles of manufacture are disclosed herein to identify media presentation by analyzing network traffic. Example instructions cause a machine to generate a traffic profile to reduce a computational burden of identifying streaming media being presented on a media presentation device, the traffic profile including first network traffic data indicative of the streaming media; obtain the traffic profile and second network traffic data corresponding to the streaming media; and generate, in response to a score for the second network traffic data meeting a threshold of similarity, a network traffic analysis report identifying the streaming media being presented on the media presentation device.
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 21/233 - Processing of audio elementary streams
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/647 - Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load or bridging bet
2.
USING MESSAGING ASSOCIATED WITH ADAPTIVE BITRATE STREAMING TO PERFORM MEDIA MONITORING FOR MOBILE PLATFORMS
Methods, apparatus, systems, storage media, etc., to perform media monitoring for mobile platforms using messaging associated with adaptive bitrate streaming are disclosed. An example media platform disclosed herein is to detect an outgoing message to be sent by the mobile platform to stream media in accordance with an online streaming protocol, and associate resource identifier information included in the outgoing message with a time value. The disclosed example media platform is also to transmit the outgoing message to a first server to cause the media to be streamed to the mobile platform, and transmit the resource identifier information and the time value to a second server different from the first server to cause a media impression associated with the mobile platform to be monitored.
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 21/466 - 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
3.
METHODS AND APPARATUS TO ANALYZE AND ADJUST DEMOGRAPHIC INFORMATION
A disclosed example includes accessing computer-generated impression records, the computer-generated impression records based on network communications received at a server of a database proprietor from client devices, the computer-generated impression records indicative of accesses to media at the client devices; accessing self-reported demographic data and behavioral data from a database of the database proprietor, the self-reported demographic data and the behavioral data corresponding to user accounts registered with the database proprietor and associated with the client devices; comparing the self-reported demographic data with a probability distribution of higher-accuracy demographic data; determining different adjustments for corresponding ones of self-reported demographics of the self-reported demographic data based on the comparison; adjusting the corresponding ones of the self-reported demographics based on corresponding ones of the different adjustments to generate adjusted user demographic data; and assigning the adjusted user demographic data to corresponding ones of the computer-generated impression records.
A computing system detects that a media presentation device such as a television is in a content-selection mode in which a user is likely to select video content to be presented by the media presentation device, at a time when the media presentation device is not using a video-on-demand service. In response, the computing system causes the media presentation device to present a prompt for user approval to have the media presentation device present video content of the video-on-demand service. By presenting this prompt at a time when the media presentation device is in a content-selection mode and is not using the video-on-demand service, the disclosed mechanism can thereby help foster use of the video-on-demand service.
H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/431 - Generation of visual interfaces; Content or additional data rendering
H04N 21/45 - 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
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 example apparatus includes memory, programmable circuitry, and instructions in the memory, the instructions to cause the programmable circuitry to at least access impression data associated with a user account registered with a database proprietor, the user account associated with first demographics at a database of the database proprietor. The example programmable circuitry is also to determine a primary user of the user account based on the impression data and based on second demographics of multiple users of the user account, the multiple users including the primary user. Additionally, the example programmable circuitry is to modify the first demographics associated with the user account based on at least some of the second demographics, the at least some of the second demographics corresponding to the primary user.
Methods, apparatus, systems, and articles of manufacture are disclosed to determine a duration of media presentation based on tuning session duration. Example apparatus a receiver to obtain a first tuning session duration indicative of an amount of time between channel changes of a first media presentation device at a first media presentation location, a presentation session estimator to select a model from storage, the model selected based on a match of the first tuning session duration and a second tuning session duration, the model including a relation between the second tuning session duration and a first presentation session duration of media presented on a second media presentation device at a second media presentation location, and estimate a second presentation session duration of media presented within the first tuning session duration based on the model.
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/442 - 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
7.
METHODS AND APPARATUS TO EXTEND A TIMESTAMP RANGE SUPPORTED BY A WATERMARK
Methods, apparatus, systems and articles of manufacture to extend a time range supported by a watermark are disclosed. Example watermark encoding apparatus disclosed herein determine which one of a plurality of timestamp cycles is to be represented by a timestamp of a watermark, the timestamp including a set of timestamp symbols, a first subset of data symbols and a second subset of data symbols. Disclosed example apparatus also modify the first subset of data symbols of the watermark based on a further timestamp symbol not included in the set of timestamp symbols of the timestamp, but not modify the second subset of data symbols based on the further timestamp symbol, the further timestamp symbol to identify the one of the plurality of timestamp cycles to be represented by the timestamp of the watermark. Disclosed example apparatus further embed the watermark in a piece of media.
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/24 - 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]
8.
METHODS AND APPARATUS FOR WIRELESS COMMUNICATION WITH AN AUDIENCE MEASUREMENT DEVICE
Methods, apparatus, systems, and articles of manufacture for communication with an audience metering device are disclosed. An example apparatus includes one or more non-transitory computer readable media, instructions in the apparatus, and one or more processors to execute the instructions. The example one or more processors are to segment a message to be transmitted to a configuration device into a first message segment and a second message segment, store the first message segment in a characteristic memory, and transmit a first advertisement to the configuration device when the first message segment is stored in the characteristic memory. Additionally, the example one or more processors are to after the first message segment has been gathered by the configuration device, store the second message segment in the characteristic memory and transmit a second advertisement to the configuration device when the second message segment is stored in the characteristic memory.
Methods and apparatus to measure brand exposure in media streams are disclosed. Example apparatus disclosed herein are to determine a first histogram based on at least one of luminance components or chrominance components of a first frame of video, and determine a second histogram based on at least one of luminance components or chrominance components of a second frame of the video. Disclosed example apparatus are also to detect a transition in the video based on the first histogram and the second histogram, and responsive to the detection of the transition in the video. Disclosed example apparatus are further to process a region of interest within at least one of the first frame or the second frame to detect a logo in the region of interest.
Methods, apparatus, systems, and articles of manufacture to identify an episode number based on fingerprint and matched viewing information are disclosed. An example method includes processing meter data to identify a presented media based on a bumper included in a media, filtering the meter data based on the identification of the media, selecting a candidate episode, the candidate episode not associated with a known episode label, determining whether the candidate episode appears sequentially after a known episode for a threshold number of presentation locations, and labeling the candidate episode as the next sequential episode after the known episode in response to determining that the candidate episode appears sequentially after the known episode for the threshold number of presentation locations.
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 21/439 - Processing of audio elementary streams
11.
MULTI-MARKET CALIBRATION OF CONVENIENCE PANEL DATA TO REDUCE BEHAVIORAL BIASES
Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period. Disclosed example apparatus also include a distribution calibrator to calibrate the first behavioral distribution determined for the first convenience panel data associated with the first market based on (i) the second behavioral distribution determined for the second convenience panel data associated with the second market and (ii) the third behavioral distribution determined for the probabilistic panel data associated with the second market.
Methods, apparatus, systems, and articles of manufacture to train an artificial intelligence-based model are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a location value for a neuron in an AI-based model; adjust a characteristic a sinusoidal signal based on a misclassification output by the AI-based model; determine that a trajectory of the sinusoidal signal is within a threshold distance of the location value; adjust the location value in response to the trajectory being within the threshold distance; and adjust a weight that corresponds to the neuron based on the adjusted location value.
Methods and apparatus to estimate cardinality of users represented across multiple bloom filter arrays are disclosed. Examples includes processor circuitry to execute and/or instantiate instructions to generate a first composite Bloom filter array based on first and second Bloom filter arrays. The processor circuitry is to generate a final composite Bloom filter array based on the first composite Bloom filter array and a third Bloom filter array. Different ones of the first, second, and third Bloom filter arrays representative of different sets of users who accessed media. The first, second, and third Bloom filter arrays including differential privacy noise. The processor circuitry to estimate a cardinality of a union of the first, second, and third Bloom filter arrays based on the final composite Bloom filter array.
G06F 16/22 - Indexing; Data structures therefor; Storage structures
G06F 15/80 - Architectures of general purpose stored program computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
Display device ON/OFF detection methods and apparatus are disclosed. Example display activity detectors disclosed herein are to extract regions from respective ones of captured video frames, the regions corresponding to a depiction of a display of a monitored media device Disclosed example display activity detectors are also to compute a distance metric that is to represent an amount a first one of the regions of a first one of the captured video frames differs from a corresponding second one of the regions of a second one of the captured video frames. Disclosed example display activity detectors are further to compare the distance metric to a threshold to determine whether the monitored media device is ON or OFF.
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.
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
G10L 15/06 - Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
Methods and apparatus to group advertisements by advertisement campaign are disclosed. An example apparatus includes memory; instructions in the apparatus; and processor circuitry to execute the instructions to determine pixel color values from a reference advertisement of an advertisement campaign; remove bits from the pixel color values associated with the reference advertisement; determine a first color proportion corresponding the reference advertisement based on the pixel color values; associate the first color proportion with the advertisement campaign; and identify a second advertisement as associated with the advertisement campaign based on a second color proportion of the second advertisement relative to the first color proportion, the second advertisement different than the reference advertisement.
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 20/40 - Scenes; Scene-specific elements in video content
17.
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.
Methods, apparatus, and systems are disclosed for estimating audience exposure based on engagement level. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to identify a user activity associated with a user during exposure of the user to media based on an output from at least one of a user device, a remote control device, an image sensor, or a motion sensor, classify the user activity as an attention-based activity or a distraction-based activity, assign a distraction factor or an attention factor to the user activity based on the classification, and determine an attention level for the user based on the distraction factor or the attention factor.
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
19.
METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS TO ESTIMATE AUDIENCE POPULATION
Methods, apparatus, systems, and articles of manufacture are disclosed to estimate an audience population. An example apparatus includes processor circuitry; characteristic identifier instructions to be executed by the processor circuitry to determine whether respective ones of respondents are associated with a characteristic; recapture probability estimator instructions to be executed by the processor circuitry to select a recapture probability of the respective ones of respondents; and population estimator instructions to be executed by the processor circuitry to in response to the recapture probability satisfying a recapture threshold, determine a population estimate having the characteristics based on a first model; and in response to the recapture probability not satisfying the recapture threshold, determine the population estimate having the characteristics based on a second model, the second model different than the first model.
H04H 60/33 - Arrangements for monitoring the users' behaviour or opinions
H04H 60/45 - 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 users
G06Q 30/0201 - Market modelling; Market analysis; Collecting market 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
20.
METHODS AND APPARATUS TO ASSIGN VIEWERS TO MEDIA METER DATA
Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes processor circuitry to execute computer readable instructions to at least: identify a candidate household from a plurality of second households to associate with a first household based on an analysis of a first duration of time first media was presented by a first media presentation device and a second duration of time second media was presented by second media presentation devices; match different ones of first panelists of the first household with matching ones of second panelists of the candidate household; and impute respective portions of the first duration of time to the different ones of the first panelists based on portions of the second duration of time for which the matching ones of the second panelists of the candidate household were exposed to the second media.
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 21/45 - 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 21/422 - Input-only peripherals, e.g. global positioning system [GPS]
21.
METHODS AND APPARATUS TO EXPAND PANELIST ENROLLMENT
Methods, apparatus, systems and articles of manufacture to expand panelist enrollment are disclosed. An example first media device includes processor circuitry to at least one of instantiate or execute the machine readable instructions to scan at least one local area network to which the first media device is connected, store an identification of a second media device connected to the at least one local area network, in response to scan of the at least one local area network indicating that the second media device is commonly connected to the at least one local area network with the first media device, add the identification of the second media device to a fingerprint, and transmit the fingerprint to a central facility.
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
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 21/442 - 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 audience exposure to media streams with a wireless isochronous data link. In one example, an apparatus includes a datastore, a network interface circuitry, and processor circuitry. The network interface circuitry obtains a first copy of audio data from a first wireless data link, the audio data transmitted from an audio source device, wherein a second copy of the audio data is transmitted, synchronously to the first copy of the audio data, to an audio sink device over a second wireless data link. The processor circuitry to instantiate data parsing circuitry to parse a media stream identifier from the first copy of the audio data and media identification assignment circuitry to assign the media stream identifier to an audio data log for the audio sink device.
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 21/85 - Assembly of content; Generation of multimedia applications
Example methods, apparatus, systems, and articles of manufacture are disclosed to estimate de-duplicated unknown total audience sizes based on partial information of known audiences. An example apparatus includes an association controller to generate a tree structure association corresponding to a union of first and second margins of time; and one or more commercial solvers to: perform parallel computations on a processor to determine multipliers by solving equations corresponding to the tree structure association, the multipliers corresponding to the first total audience size for the union, the second total audience size for the first margin, and the third total audience size for the second margin; and determine an estimate for the third total audience size for the second margin of time based on the multipliers.
Methods, apparatus, systems and articles of manufacture are disclosed to monitor streaming media content. Example apparatus disclosed herein include means for determining whether a streaming media flag is asserted in a payload of a watermark detected in media presented by a media presentation device, the streaming media flag to indicate whether the media was distributed to the media presentation device as streaming media. Disclosed example apparatus also include means for discarding the detected watermark from collected data in response to a determination that the streaming media flag is asserted. Disclosed example apparatus further include means for reporting the collected data to a remote server via a 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
H04L 43/062 - Generation of reports related to network traffic
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
Methods and apparatus to measure exposure to streaming media are disclosed. An example apparatus includes communication interface circuitry to obtain metering data, the metering data including a first metadata tag extracted from media at a time corresponding to a media event associated with the media, the metering data omitting second metadata tags extracted from the media by a media monitor, the second metadata tags identified for omission based on a temporal proximity of the second metadata tags to the media event, the first and second metadata tags extracted from the media when the media is presented; memory; instructions included in the apparatus; and processor circuitry to execute the instructions to determine a first exposure of an audience to the media based on the metering data, the first exposure being the same as a second exposure determined based on an analysis of the first metadata tags.
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 21/437 - Interfacing the upstream path of the transmission network, e.g. for transmitting client requests to a VOD server
H04N 21/6587 - Control parameters, e.g. trick play commands or viewpoint selection
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
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
26.
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 memory, instructions, and processor circuitry to execute the instructions to detect connections between client devices and a first WI-FI connection point, the client devices connected to the first WI-FI connection point via a second WI-FI connection point, when a first number of the connections is less than a second number of possible connections to the first WI-FI connection point, generate an additional connection to the first WI-FI connection point, the additional connection corresponding to at least one of the client devices, and route the client devices to the first WI-FI connection point via the first number of connections and the additional connection.
Methods and apparatus to detect user attentiveness to portable devices are disclosed. An example portable device includes memory, computer readable instructions, and processor circuitry to execute the computer readable instructions to at least download an exposure measurement application from a first server via a network, and execute the exposure measurement application to detect at least one of a first orientation change of the portable device or a first position change between the portable device and a user, compare the at least one of the first orientation change or the first position change to a plurality of spatial condition change combinations associated with respective likelihoods indicative of user attentiveness related to the portable device to determine user attentiveness data associated with a presentation on the portable device, and cause the user attentiveness data to be transmitted via the 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
H04H 60/32 - Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
H04N 21/41 - Structure of client; Structure of client peripherals
H04N 21/61 - Network physical structure; Signal processing
28.
SYSTEMS AND METHODS FOR ADAPTIVE ADJUSTMENT OF ADVERTISEMENT BOUNDARIES IN MEDIA
Example apparatus disclosed herein are to compare first monitored media signatures associated with an advertisement block to a plurality of sequences of monitored media signatures associated with a first time period; determine a start boundary and an end boundary of a first advertisement in the advertisement block based on the comparison of the first monitored media signatures and the plurality of sequences of monitored media signatures, the first advertisement associated with second monitored media signatures representative of a subset of the first monitored media signatures between the start boundary and the end boundary; generate an entry in an advertisement relationship graph for the second monitored media signatures, the entry to map second monitored media signatures to the first advertisement; and credit media exposure to the first advertisement based on the second monitored media signatures in the advertisement relationship graph.
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
Example apparatus disclosed herein are to send a request to a media provider that is to cause the media provider to initiate transmission of a transport stream that is to provide streaming media to a media presentation device. Disclosed example apparatus are also to extract metering metadata from a data file to be received by the media presentation device after the transmission of the transport stream is initiated by the media provider but before receipt by the media presentation device of the transport stream that is to provide the streaming media to the media presentation device, the data file associated with the transport stream. Disclosed example apparatus are further to report the metering metadata to a server in response to a detected event, and access an identification of secondary media responsive to the report of the metering metadata, the secondary media to be presented by the media presentation device.
Methods and apparatus to incorporate saturation effects into marketing mix models are disclosed. An example apparatus includes means for converting adstock data associated with an advertising campaign into effective reached realized (ERR) data based on a first saturation curve, the adstock data corresponding to adstocked gross rating points generated from marketing mix input data. The apparatus further including means for performing regression analysis to: identify the first saturation curve from among a plurality of plausible curves based on a fit of different ones of the plurality of plausible curves to the marketing mix input data, the first saturation curve to define a relationship indicative of saturation effects of the advertising campaign on a target audience of the advertising campaign; and determine an impact of the advertising campaign on sales during a period of interest based on a regression analysis of the ERR data relative to sales data.
Example apparatus disclosed herein are to access first data entries from a first data source based on a first media identifier, the first data entries associated with first streaming media, respective ones of the first data entries including the first media identifier and corresponding timestamps that indicate when the first streaming media was presented or accessed via a group of media devices. Disclosed example apparatus are also to access second data entries from a second data source based on a keyword or phrase, the second data entries associated with news information or weather information. Disclosed example apparatus are further to align, based on the timestamps, the second data entries with values of a time varying audience of the first streaming media determined based on the first data entries to determine ratings data that correlates changes in the time varying audience with the news information or the weather information.
Systems and methods for monitoring malicious software engaging in online advertising fraud or other form of deceit are disclosed herein. An example method includes identifying a communication process used by a compromised computing device to communicate with a control server, the control server providing access to advertising weblinks, the compromised computing device associated with malicious software, directing, by an instruction executed by a processor, the compromised computing device to communicate with an uncompromised computing device by re-routing of packets used for communication between the compromised computing device and the control server, the uncompromised computing device is configured to mimic communications between the compromised computing device and the control server using the communication processes, storing information from one or more packets transmitted from the uncompromised computing device, and creating a profile of the malicious software based on the stored information.
G06F 21/53 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by executing in a restricted environment, e.g. sandbox or secure virtual machine
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 21/44 - 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 21/4722 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
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 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
34.
METHODS AND APPARATUS TO ESTIMATE POPULATION REACH FROM DIFFERENT MARGINAL RATING UNIONS
Example methods, apparatus, systems, and articles of manufacture are disclosed to estimate population reach for different unions based on marginal ratings. An example apparatus includes memory and processor circuitry to determine a population reach estimate of a union of time intervals for which media ratings data is available, the population reach estimate based on a pseudo universe estimate of a population audience corresponding to the union of the time intervals; determine a pseudo universe estimate of a recorded audience corresponding to the union of the time intervals; determine the pseudo universe estimate of the population audience based on the pseudo universe estimate of the recorded audience; and in response to a decision to update the pseudo universe estimate of the population audience to reduce an error of the population reach estimate output the population reach estimate of the union when the error of the population reach estimate 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
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
35.
POWER EFFICIENT DETECTION OF WATERMARKS IN MEDIA SIGNALS
Example apparatus disclosed herein include a watermark detector to detect watermarks in a media signal. Disclosed example apparatus also include a controller to operate the watermark detector to (1) detect a first watermark in the media signal, and (2) cycle between sleep intervals and active intervals based on a repetition rate of the watermarks in the media signal to perform a detection operation for a second watermark at a second location in the media signal relative to a first location of the first watermark in the media signal. In some examples, the controller is to search a buffer of prior detected watermark symbols to detect a third watermark at a third location prior to the second location in the media signal in response to the second watermark not being detected at the second location in the media signal.
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 21/439 - Processing of audio elementary streams
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
H04N 19/42 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals - characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
36.
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 21/44 - 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 21/442 - 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
37.
METHODS AND APPARATUS TO COLLECT IMPRESSIONS ASSOCIATED WITH OVER-THE-TOP MEDIA DEVICES
Methods, apparatus, and systems are disclosed to collect impressions associated with over-the-top media devices. An example apparatus includes memory; and at least one processor to execute instructions to access a first request, the first request from a user-controlled client device, the first request including an over-the-top device identifier that identifies an over-the-top device that presents media, in response to determining a user of the user-controlled client device is a panelist of a first server, store the over-the-top device identifier with demographics corresponding to the panelist, access a second request, the second request from the over-the-top device, the second request including the over-the-top device identifier and a media identifier, and log an impression associated with the media identifier and the demographics, the impression corresponding to the panelist of the first server.
Methods, apparatus, systems, and articles of manufacture are disclosed to detect a presence status. An example apparatus includes media identification circuitry to generate first signatures representative of first audio data associated with a monitored media device, a comparator to obtain second signatures from a portable meter, the second signatures representative of second audio data sensed by the portable meter and compare the first signatures and the second signatures to determine a comparison result, presence detection circuitry to determine a presence status of a user based on the comparison result, the user associated with the portable meter, and network communication circuitry to transmit the presence status to a data processor to perform audience measurement based on the presence status.
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 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/439 - Processing of audio elementary streams
H04L 67/54 - Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
Methods, apparatus, systems and articles of manufacture are disclosed for identification of streaming activity and source for cached media on streaming devices. An example system stores, in a content identification information library, first content identification information of a first media presentation, wherein the first media presentation is a streamed media presentation; inspects a network connection of a media streaming device for network activity associated with a second media presentation; determine, in response to an absence of the network activity, the second media presentation is a cached media presentation; infers a streaming source of the second media presentation by matching second content identification information of the second media presentation with the first content identification information of the first media presentation; and generates a second media credit for the second media presentation that includes an inferred streaming source identifier.
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 21/658 - Transmission by the client directed to the server
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 21/432 - Content retrieval operation from a local storage medium, e.g. hard-disk
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 65/61 - Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
H04L 67/568 - Storing data temporarily at an intermediate stage, e.g. caching
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
40.
METHODS AND APPARATUS TO IDENTIFY USERS ASSOCIATED WITH DEVICE APPLICATION USAGE
Methods and apparatus are disclosed to identify users associated with device application usage. A disclosed example method involves obtaining demographics of persons to participate in a panel for an audience research study, identifying a set of applications to be monitored, providing devices associated with the persons in the panel with a meter to record usage of the applications and with a user-to-application associator, the user-to-application associator to define associations between the applications to be monitored and the persons associate with the device before the applications are launched, receiving data from a first one of the devices identifying a first one of the persons as a primary user of a first one of the applications in the set of applications, receiving data from the first device identifying usage of the first application, and associating the demographics of the first person with the usage of the first application.
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
H04L 67/04 - Protocols specially adapted for terminal portability
H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
Methods and apparatus to credit streaming activity using domain level bandwidth information are disclosed. An example apparatus includes a packet collector to collect data packets via a network interface, and a traffic analyzer to determine domain data of the data packets and associate bandwidth usage values with the domain data to define bandwidth usage data by domain. The apparatus also includes a bandwidth usage data storage to store the associated bandwidth usage data by domain.
An apparatus and method to automatically determine the location of unknown media devices is disclosed. An example apparatus includes a media device detector to detect an unknown media device identified in monitoring data collected by an audience measurement device at a location determined to have an “on” status, a media transmission detector to detect a media transmission associated with a device address and an association storer to store an association of the device address, the unknown media device and the location. A probability determiner determines a probability that the unknown media device is located at the location.
H04L 12/18 - Arrangements for providing special services to substations for broadcast or conference
H04L 43/0876 - Network utilisation, e.g. volume of load or congestion level
H04L 51/043 - Real-time or near real-time messaging, e.g. instant messaging [IM] using or handling presence information
H04L 51/222 - Monitoring or handling of messages using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
43.
METHODS AND APPARATUS TO COLLECT DISTRIBUTED USER INFORMATION FOR MEDIA IMPRESSIONS
A disclosed example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to store a logged media impression for a media identifier representative of media accessed via the Internet, cause transmission of a device identifier or a user identifier to a database proprietor when a user has not elected to not participate in third-party tracking corresponding to online activities, access user information from the database proprietor based on the device identifier or the user identifier, log a demographic impression based on the media impression and the user information, and generate an impression report corresponding to the media based on the demographic impression.
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 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/61 - Network physical structure; Signal processing
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
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, apparatus, systems and articles of manufacture are disclosed to generate a signature based on signature candidates. An example apparatus disclosed herein includes first means for determining an alignment point of a first candidate signature segment and a second candidate signature segment, the first candidate signature segment and the second candidate signature segment include time data and signature data, the alignment point based on the time data of the first candidate signature segment and the time data of the second candidate signature segment, means for comparing a first signature to a second signature at the alignment point, the first signature representative of media included in the first candidate signature segment, the second signature included in the second candidate signature segment, and means for stitching the second signature to the first signature based on the comparison to generate a stitched signature, the stitched signature to be used for media crediting.
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
Methods and apparatus to estimate census-level audience sizes and duration data across dimensions and/or demographics are disclosed. An example apparatus includes constraint equation control circuitry to select at least one constraint equation corresponding to one or more events, the one or more events corresponding to first audience members and second audience members, the first audience members to include the second audience members, constraint parameter estimation circuitry to solve the at least one constraint equation to determine one or more constraint parameter values, the one or more constraint parameter values corresponding to the one or more events, and output generation circuitry to determine, based on one or more intermediate equations and the one or more constraint parameter values, an event audience size and an event duration corresponding to (a) the first audience members and (b) a combination of the one or more events and one or more demographics.
Methods, apparatus, systems and articles of manufacture are disclosed to monitor wireless traffic. An example apparatus disclosed herein includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: establish, via a first wireless interface, a wireless connection with first network credentials to match second network credentials of a primary access point; monitor traffic via a second wireless interface, the second wireless interface different than the first wireless interface; identify, via the traffic monitored via the second wireless interface, a connection of a client to the primary access point; capture, via an alternate access point, a management frame transmitted from the primary access point to the client; insert a change channel announcement into the captured management frame; and re-transmit, via the first wireless interface, the captured management frame including the change channel announcement.
Methods, apparatus, systems and articles of manufacture are disclosed for identification of local commercial insertion opportunities. Example apparatus for identification of local commercial insertion opportunities include a media comparator to compare respective instances of media conveyed in respective ones of a plurality of broadcast signals associated with affiliates of a national broadcaster to identify a broadcast interval having different media conveyed among at least some of the broadcast signals. The example apparatus also include an insertion opportunity identifier to determine whether the broadcast interval is associated with a local advertisement insertion opportunity based on a characteristic of the broadcast interval.
Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes an audio detector to determine a first audience count based on signatures of audio data captured in the media environment, a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, and an audience image detector to identify at least one audience member based on a comparison of a frame of audience image data with a library of reference audience images, the audience image detector to perform the comparison in response to the first audience count not matching the heat blob count.
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
G10L 25/78 - Detection of presence or absence of voice signals
G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
49.
METHODS AND APPARATUS TO DETERMINE PROBABILISTIC MEDIA VIEWING METRICS
Methods and apparatus to determine probabilistic media viewing metrics are disclosed herein. An example apparatus includes memory including machine reachable instructions; and processor circuitry to execute the instructions to calculate a first probability for respective ones of a plurality of panelists as having viewed media based on viewing data, the viewing data including incomplete viewing data for one or more of the panelists relative to the media; identify respective ones of a plurality of panelists as included in a demographic subgroup based on demographic data for the panelists; assign a sampling weight to the respective ones of the plurality of panelists based on the demographic data; and calculate a second probability of the demographic subgroup having viewed the media based on the first probabilities and the sampling weights for the respective ones of the plurality of panelists in the demographic subgroup.
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 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
50.
METHODS AND APPARATUS TO IDENTIFY MEDIA USING HYBRID HASH KEYS
Apparatus, system, methods, and articles of manufacture are disclosed to identify media using hash keys. An example system includes a hybrid hash key analyzer to access a metered hash key of an exposure record obtained from a meter, access reference records representative of respective portions of a plurality of media, and determine reference confirmation data candidates from respective ones of the reference records that include hash keys matching the metered hash key. The example system includes an impression logger to, when first confirmation data associated with the exposure record matches one of the reference confirmation data candidates, store an impression record that associates the media identification data associated with the matching one of the reference confirmation data candidates with a meter identifier of the exposure record. The impression logger also is to credit at least a portion of the media corresponding to the media identification data with an exposure credit.
Methods and apparatus to generate reference signatures are disclosed. An example method includes collecting a first signature for media being presented to a plurality of households; crediting the media when the first signature matches a reference signature in a reference signature database; in response to determining that the first signature does not match a reference signature in the reference signature database and the first signature does not match an unidentified signature in an unknown signature database, storing the first signature in the unknown signature database; in response to determining that a second signature does not match the reference signature in the reference signature database and the second signature matches the unidentified signature in the unknown signature database, and increasing a count associated with the unidentified signature
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 60/56 - Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups or
H04H 60/31 - Arrangements for monitoring the use made of the broadcast services
52.
METHODS AND SYSTEMS TO MONITOR A MEDIA DEVICE VIA A USB PORT
An audience measurement computing system for monitoring a media presentation device in a monitored environment is described and includes a network interface, at least one processor, and a non-transitory computer-readable medium comprising instructions executable by the processor(s). The computing system is configured to obtain, via a cable connected to an input port of the media presentation device, a voltage signal generated by the media presentation device based on an operational state of the media presentation device; compare voltage indicated by the voltage signal to a threshold; based on the comparing, generate timestamped operational state data comprising a record indicative of when the media presentation device is in an on-state; obtain audience measurement data representing one or more media signals communicated to the media presentation device; and transmit, via the network interface over a network and to a central facility, the timestamped operational state data and the audience measurement data.
G06Q 30/0242 - Determining effectiveness of advertisements
G01R 19/165 - Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of 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 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
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 21/422 - Input-only peripherals, e.g. global positioning system [GPS]
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.
G06Q 30/0242 - Determining effectiveness of advertisements
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04H 60/64 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for providing detail information
54.
METHODS AND APPARATUS FOR IDENTIFYING MEDIA CONTENT USING TEMPORAL SIGNAL CHARACTERISTICS
Methods and apparatus for identifying media content using temporal signal characteristics are disclosed. An example apparatus includes at least one memory, computer readable instructions, and at least one processor to execute the instructions to identify intervals in a media signal; generate interval sums for respective ones of the intervals, a first interval sum of the interval sums based on a sum of magnitudes of first peaks of the media signal that occur between zero crossings of a first interval of the intervals of the media signal; identify second peaks based on the interval sums; and generate a signature representative of the media signal based on the second peaks.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
H04H 60/58 - Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups or of audio
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 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/439 - Processing of audio elementary streams
55.
METHODS AND APPARATUS TO IMPROVE USAGE CREDITING IN MOBILE DEVICES
Methods, apparatus, systems and articles of manufacture are disclosed including means for identifying to identify a first request having a first source port number, from a device, determine whether a second request, having a second source port number, is within a threshold number of ports from the first source port number, group the first and the second requests as a first session when the second source port number is within the threshold number of ports from the first source port number, and means for classifying to generate session windows, the session windows including the threshold number of ports, wherein the session windows are applied to lowest and highest source port numbers associated with a current session.
Methods, apparatus, systems and articles of manufacture are disclosed for media crediting and, more particularly, methods and apparatus of media device detection for minimally invasive media meters. An example apparatus disclosed herein to detect media devices presenting media includes means for generating a cluster of media locations from a reference population of media locations based on media identifying information received from a presentation of media at an unidentified media device at a first media location, means for determining media devices available at the media locations in the cluster of media locations, means for identifying the unidentified media device based on (1) the media devices available at the media locations in the cluster of media locations and (2) an identity of a media device determined to be available in a majority of media locations in the cluster of media locations.
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 60/54 - 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 locations where broadcast information is generated
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 21/2547 - Third party billing, e.g. billing of advertiser
H04N 21/658 - Transmission by the client directed to the server
H04H 60/00 - Arrangements for broadcast applications with a direct linkage to broadcast information or to broadcast space-time; Broadcast-related systems
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
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
57.
METHODS AND APPARATUS TO VERIFY PRESENTATION OF MEDIA CONTENT
Example methods and apparatus to verify presentation of media content are disclosed. A disclosed example apparatus for generating media presentation information includes a comparator to periodically output a value indicative of whether media selected via a set-top box is presented at a media presentation location by comparing a first audio signal associated with the media to ambient audio received in the media presentation location via an audio system associated with a media presentation device. The example apparatus also includes a privacy protector to facilitate operation of the comparator by periodically preventing the comparator from receiving of the ambient audio. The example apparatus also includes a metering module to record presentation of the media based on the output.
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 60/31 - Arrangements for monitoring the use made of the broadcast services
H04N 21/436 - Interfacing a local distribution network, e.g. communicating with another STB or inside the home
H04N 7/16 - Analogue secrecy systems; Analogue subscription systems
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
H04N 21/422 - Input-only peripherals, e.g. global positioning system [GPS]
H04N 21/439 - Processing of audio elementary streams
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
58.
METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS FOR ADAPTIVE METERING
Methods, systems, articles of manufacture, and apparatus for adaptive metering are disclosed. An example apparatus disclosed herein includes a condition analyzer to determine a condition associated with a mobile device, a meter selector to select a meter for the mobile device based on the condition, and a data collector to collect data pertaining to the mobile device based on the selected meter.
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 21/414 - Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
H04W 4/18 - Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
H04W 4/23 - Services signalling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel for mobile advertising
59.
METHODS AND APPARATUS TO DETERMINE MEDIA IMPRESSIONS USING DISTRIBUTED DEMOGRAPHIC INFORMATION
Examples to determine media impressions using distributed demographic information are disclosed. An example system includes programmable circuitry to log, at a first Internet domain, a first record for a first website visit by a first client device to a website at a second Internet domain, the first record based on a hypertext transfer protocol (HTTP) request, the first record to include a timestamp, a uniform resource locator (URL), and a user identifier, the timestamp to represent a time of the first website visit, the URL corresponding to the website at the second Internet domain, and weight impression data in a report, the impression data associated with the first record and with second records, the second records corresponding to second website visits to the website via second client devices, the weighting of the impression data based on demographic distributions of audience members corresponding to the first and second records.
Methods, apparatus, systems, and articles of manufacture are disclosed to determine unified entity weights for audience measurement. Example apparatus disclosed herein are to obtain entity data associated with an entity over a period of time including a plurality of time segments, the entity data including an entity identifier, adaptable weights of the entity associated respectively with the time segments in the period of time, and panel statuses of the entity that correspond to respective ones of the time segments in the period of time, and average the adaptable weights based in the panel statuses to determine a unified weight of the entity for the period of time.
Methods, apparatus, systems, and articles of manufacture to determine an additive reach adjustment factor for audience measurement are disclosed. An example apparatus for additive reach adjustment includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to identify a first probability, the first probability associated with a population tuning to a marketing campaign, the tuning including missing data, identify a second probability, the second probability associated with the population not tuning to the marketing campaign or the tuning including missing data, determine an additive reach adjustment based on a compound probability and a no-tuning probability, the compound probability and the no-tuning probability determined using the first probability and the second probability, and credit a population exposed to the marketing campaign to include missing impressions based on the additive reach adjustment.
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 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
62.
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.
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
Example apparatus disclosed herein include a return path data classifier to classify a first viewing period associated with segments of return path data received from a set top box into tuning classifications based on the segments of the return path data; calculate a total reported tuning duration for the first viewing period when the first viewing period is classified as live or playback tuning; and compare the total reported tuning duration to a duration threshold to determine whether the segments of return path data associated with the first viewing period are valid. The example apparatus also includes a return path data rectifier to rectify missing tuning data associated with a second viewing period based on tuning data included in the segments of return path data associated with the first viewing period when the segments of the return path data associated with the first viewing period are determined to be valid.
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
Methods, apparatus, systems, and articles of manufacture are disclosed to analyze nonresponse-related gaps in panel data, by using big data. An apparatus to adjust panelist data comprising at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to communicate with an external data source to obtain external data, the external data including information on a potential panelist, identify the potential panelist from the panelist data, generate weighting information on the potential panelist based on the panelist data using a weighting model, calculate a correction factor based on the weighting information, and apply the correction factor to update the panelist data.
An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04H 60/64 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for providing detail information
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
H04N 7/173 - Analogue secrecy systems; Analogue subscription systems with two-way working, e.g. subscriber sending a programme selection signal
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 21/414 - Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
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
An example apparatus includes a distance matrix generator to determine a number of remapping combinations corresponding to a first and a second household demographic model, generate (a) a first age-based household demographic model and a second age-based household demographic model and (b) a third age-based household demographic model and a fourth age-based household demographic model, generate a first distance matrix corresponding to the first and the third age-based household demographic model, and generate a second distance matrix corresponding to the second and the fourth age-based household demographic model, a distance matrix identifier to determine a first and a second reassignment distance and a person identification assigner to assign a person identification number of a first person corresponding to the first household to a second person corresponding to the second household based on the first distance matrix or the second distance matrix.
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
Methods, apparatus, systems, and articles of manufacture are disclosed to generate synthetic respondent level data. Example apparatus disclosed herein include means for generating a synthetic panel corresponding to a duration of time, the means for generating the synthetic panel to: generate a transition matrix corresponding to a first sub-duration of the duration of time and a second sub-duration of the duration of time; generate, based on the transition matrix, a plurality of synthetic panelists and associated viewing data; remove first ones of the synthetic panelists associated with one or more weights that do not satisfy a threshold to generate the synthetic panel corresponding to the duration of time, the synthetic panel representative of audiences of media presented by a plurality of media devices during the duration of time; and generate synthetic respondent level data based on the viewing data associated with remaining second ones of the synthetic panelists.
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
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
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 21/262 - 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
H04H 60/31 - Arrangements for monitoring the use made of the broadcast services
69.
METHODS AND SYSTEMS FOR COMPLIANCE CONFIRMATION AND INCENTIVES
Example methods, apparatus, and articles of manufacture for monitoring use by a user of a portable research device in accordance with at least one predetermined use criterion are disclosed. The disclosed examples include passively gathering data for assessing an identity of a user of the portable research device, processing the passively gathered data to produce assessment data indicating a possibility that the user is not a predetermined correct user of the portable research device, based on the assessment data, displaying a message to the user requesting a response from which the user's identity may be determined, and processing a response to the message to produce data indicating whether the user is the predetermined correct user.
G06Q 10/101 - Collaborative creation, e.g. joint development of products or services
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
A61B 3/12 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
A61B 3/14 - Arrangements specially adapted for eye photography
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/1172 - Identification of persons based on the shapes or appearances of their bodies or parts thereof using fingerprinting
A61B 5/1171 - Identification of persons based on the shapes or appearances of their bodies or parts thereof
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 duration and 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 21/442 - 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 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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
71.
METHODS AND APPARATUS TO AUTOMATE RECEIVABILITY UPDATES FOR MEDIA CREDITING
Methods, apparatus, systems, and articles of manufacture are disclosed to automate receivability updates for media crediting. At least one non-transitory machine-readable medium comprises instructions that, when executed, cause at least one processor to at least identify a station identifier associated with at least one of a signature or a code, the at least one of the signature or the code collected at a panelist household. The instructions, when executed, cause at least one processor to further determine whether a household receivability table includes the station identifier, to determine, in response to a determination that the household receivability table does not include a station corresponding to the station identifier, whether the station is receivable at the panelist household, and to update the household receivability table, the update in response to a determination that the station corresponding to the station identifier is receivable at the panelist household.
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabi
H04N 21/45 - 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
72.
METHODS AND APPARATUS TO DETERMINE SOURCES OF MEDIA PRESENTATIONS
Example apparatus disclosed herein are to obtain, from a network monitor, an address associated with one or more network communications used to convey a media stream to a first input device of a plurality of input devices in communication with a media device, query one or more data structures based on the address to identify a first input source of the media device, the one or more data structures to map respective ones of the plurality of input devices to corresponding ones of a plurality of input sources of the media device, the plurality of input sources including the first input source, obtain a watermark from a meter that is to monitor an output of the media device, and identify the first input source of the media device as associated with media presented by the media device in response to determination that the watermark corresponds to the media stream.
G06F 16/48 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
G06F 21/16 - Program or content traceability, e.g. by watermarking
G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
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 to monitor media are disclosed. An example apparatus includes at least one memory, first instructions in the apparatus, and processor circuitry to execute the first instructions. The first instructions, when executed, are to: instruct a media provider to include second instructions in an application to create an instrumented application and receive data from a media device based on the media device executing the second instructions.
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
74.
METHODS AND APPARATUS TO EXTRACT A PITCH-INDEPENDENT TIMBRE ATTRIBUTE FROM A MEDIA SIGNAL
Methods and apparatus to extract a pitch-independent timbre attribute from a media signal are disclosed. An example apparatus includes an audio characteristic extractor to determine a logarithmic spectrum of an audio signal; transform the logarithmic spectrum of the audio signal into a frequency domain to generate a transform output; determine a magnitude of the transform output; and determine a timbre attribute of the audio signal based on an inverse transform of the magnitude.
G10H 3/12 - Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussion instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a lo
G10H 1/06 - Circuits for establishing the harmonic content of tones
75.
METHODS AND APPARATUS TO DETERMINE MEDIA EXPOSURE OF A PANELIST
Methods, apparatus, systems and articles of manufacture to determine media exposure of a panelist are disclosed. An example apparatus include memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: determine an anonymized identifier from media monitoring data corresponding to a personal people meter of a panelist; filter anonymized census data from a plurality of media devices based on the anonymized identifier; when second media data different than first media data is included in the media monitoring data during a same time duration, tag the time duration as corresponding to multiple media exposure; and credit exposure to media for the panelist based on the tag.
Systems and methods to identify intentionally placed products in media content are disclosed. An example apparatus includes an audience measurement monitor to detect a presence of an intentionally placed prop in media by processing metadata stored in a local memory at the audience measurement monitor, user interaction with the prop causing a display of information related to the prop; detect a selection of a uniform resource locator (URL) displayed with the media by an audience member during presentation of the intentionally placed prop in the media, the selection of the URL causing a display device displaying the media to access a web page including information related to the intentionally placed prop; and identify the media in which the intentionally placed prop is located; and a collection facility to generate a report including at least one of the presence of the intentionally placed prop or the selection of URL.
Methods, systems, articles of manufacture and apparatus to privatize consumer data are disclosed. A disclosed example apparatus includes a consumer data acquirer to collect original data corresponding to (a) confidential information associated with consumers and (b) behavior information associated with the consumers, and a data obfuscator. The data obfuscator is to determine a degree to which the original data is to be obfuscated and a type of obfuscation to be applied to the original data based on the original data, generate obfuscation adjustments of the original data based on the degree and the type, and generate an obfuscation model based on the obfuscation adjustments.
Methods and apparatus for gathering research data indicating exposure to media are disclosed. An example apparatus includes a first wireless receiver to access a first modulated audio signal via a wireless data connection from a media device using a wireless communication protocol, the first modulated audio signal associated with the media, the first wireless receiver to output a baseband audio signal corresponding to the first modulated audio signal. The example apparatus includes a first wireless transmitter to modulate the baseband audio signal to form a second modulated audio signal, the first wireless transmitter to transmit the second modulated audio signal to wireless headphones using the wireless communication protocol. The example apparatus includes a monitoring device to receive the baseband audio signal, and to generate research data identifying the media, the media device including a second wireless transmitter to transmit the first modulated audio signal to the first wireless receiver, and the wireless headphones including a second wireless receiver to receive the second modulated audio signal from the first wireless transmitter.
Methods and systems to estimate audience measurement metrics based on users represented in Bloom filter arrays are disclosed. An apparatus includes a communications interface to receive a first Bloom filter array from a first computer of a first database proprietor. The first Bloom filter array is representative of first users who accessed media. The first users are registered with the first database proprietor. The first Bloom filter array includes a first array of first elements. Values of respective ones of the first elements are either a 0 or a 1 based on whether quantities of the first users allocated to the respective ones of the first elements are even or odd. The apparatus further includes a Bloom filter array analyzer to estimate a first cardinality for the first Bloom filter array. The first cardinality is indicative of a total number of the first users who accessed the media.
Example methods and apparatus to measure exposure to broadcast signals having embedded data are disclosed. Example meters disclosed herein are to decode a watermark from a first audio signal to obtain an identifier of a broadcast station, and query a data structure based on (i) the identifier of the broadcast station obtained from the watermark and (ii) a location, the query to obtain a transmission frequency of a broadcast signal corresponding to the audio signal. Disclosed example meters are also to tune a radio to the transmission frequency of the broadcast signal, and compare the first audio signal with a second audio signal from the radio to verify an identity of the broadcast station.
Methods and apparatus to generate corrected online audience measurement data are disclosed. An example apparatus includes programmable circuitry to at least receive, from a server of a database proprietor, a first audience count, a second audience count, and a third audience count, the first audience count indicative of a first number of impressions corresponding to first network communications, the second network communications from second computing devices, and the third audience count indicative of a third number of impressions corresponding to ones of the first network communications and ones of the second network communications attributed to the first media category and the second media category accessed by the first demographic group, the first audience count including a server-generated duplicated audience count generated by the server of the database proprietor, and calculate a deduplication factor for the first demographic group using the first, second, and third audience counts.
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
G06Q 30/0242 - Determining effectiveness of advertisements
H04N 21/658 - Transmission by the client directed to the server
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
82.
Use of Steganographically-Encoded Time Information as Basis to Establish a Time Offset, to Facilitate Taking Content-Related Action
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 the 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 to carry out a content-related action in a given one of the one or more linear media streams.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating MPEG-4 scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
An example apparatus to perform media device on/off detection using return path data includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to classify view segments associated with common homes data based on whether first return path data in respective ones of the view segments has matching panel meter data to determine labeled view segments, train a machine learning algorithm, based on a first set of features, to output media device on/off determinations to produce a machine learning algorithm, the first set of features generated from the labeled view segments, and apply second return path data to the machine learning algorithm trained to output a first on/off determination associated with a media device represented in the second return path data.
Apparatus, systems, and method for user presence detection for audience monitoring are disclosed. Example apparatus disclosed herein are to detect movement of a user relative to an area based on one or more signals output by one or more motion detection sensors, the area associated with a media presentation device. Disclosed example apparatus are also to generate a request for verification of user presence in the viewing area in response to detection of the user movement. Disclosed example apparatus are further to correlate a user input responsive to the request with media presented via the media presentation device.
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
Apparatus, systems, articles of manufacture, and methods are disclosed for multiple scrambled layers for audio watermarking. An example system includes a processor to execute instructions to: divide the watermark into a plurality of watermark symbols; map the watermark symbols to a plurality of frequency bins according to a first distribution scheme to create a first watermark layer having first frequency bins and a second watermark layer having second frequency bins, subsets of adjacent ones of the plurality of frequency bins grouped into a corresponding plurality of frequency clumps; determine a sequence for shifting watermark symbols to cause different combinations of watermark symbols that include one watermark symbol from each watermark layer to share a first number of frequency bins, the first number to be less than a number of watermark symbols in the different combinations; and generate a second distribution scheme to map the watermark symbols.
Methods, apparatus, systems and articles of manufacture to update audio sensor configuration are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: in response to detection of an update to audio sensor configuration, identify a plurality of potential audio sensor configurations to be used to receive audio, select respective ones of the identified potential audio sensor configurations for testing, determine signal-to-noise ratios corresponding to each of the selected ones of the potential audio sensor configurations, select the greatest signal-to-noise ratio of the signal-to-noise ratios, compare the greatest signal-to-noise ratio value and a noise ratio change threshold, and in response to the selected greatest signal-to-noise ratio value exceeding the noise ratio change threshold, update a configuration memory to cause use of the potential audio sensor configuration corresponding to the selected greatest signal-to-noise ratio.
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
Methods and apparatus to detect spillover are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: identify a quantity of first durations of loudness in an audio signal of media; calculate a ratio of the quantity of the first durations of loudness to a quantity of second durations of loudness in the audio signal of the media, the quantity of the second durations of loudness including the quantity of the first durations of loudness; and in response to a detection of the audio signal being spillover, store data denoting the media as un-usable to credit a media exposure when the ratio does not satisfy a loudness ratio threshold, the storing of the data to improve an accuracy of media exposure credits by not crediting spillover media.
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/439 - Processing of audio elementary streams
H04N 21/422 - Input-only peripherals, e.g. global positioning system [GPS]
H04H 60/31 - Arrangements for monitoring the use made of the broadcast services
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 60/52 - 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 locations of users
H04H 60/58 - Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups or of audio
88.
METHODS AND APPARATUS TO DETERMINE A UNIQUE AUDIENCE FOR INTERNET-BASED MEDIA
An example apparatus disclosed herein includes at least one memory, instructions, and at least one processor to execute the instructions to: receive first HyperLogLog (HLL) data from a first server of a first database proprietor and second HyperLogLog (HLL) data from a second server of a second database proprietor, the first HLL data including obfuscated first user impression data and the second HLL data including obfuscated second user impression data; generate union HLL data based on the first HLL data from the first database proprietor and the second HLL data from the second database proprietor by performing a union of data sets of the obfuscated first user impression data represented in the first HLL data and the obfuscated second user impression data represented in the second HLL data; and determine a total number of deduplicated unique audience members based on the union HLL data generated by the vector analyzer.
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 21/266 - 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 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
G06F 16/22 - Indexing; Data structures therefor; Storage structures
G06F 16/13 - File access structures, e.g. distributed indices
G06F 3/06 - Digital input from, or digital output to, record carriers
89.
METHODS AND APPARATUS TO MONITOR MEDIA PRESENTATIONS
Methods and apparatus to monitor media presentations are disclosed. Disclosed example apparatus include memory, instructions, and at least one processor to execute the instructions to at least receive demographic information from a user, transmit the demographic information to a central facility, cause storage of a consent identifier in a pasteboard of the media device, the consent identifier accessible to a first instrumented application and a second instrumented application executed in a sandbox environment, the consent identifier to indicate to the first instrumented application and the second instrumented application that monitoring is allowed, access the consent identifier from the pasteboard, present media, generate monitoring information if the consent identifier permits collection of monitoring information, not generate monitoring information if the consent identifier does not permit the collection of the monitoring information, and transmit the monitoring information to the central facility.
Methods, apparatus, systems and articles of manufacture are disclosed to project ratings for future broadcasts of media. Disclosed example methods include normalizing, with a processor, audience measurement data corresponding to media exposure data, social media exposure data and programming information associated with a future quarter to determine normalized audience measurement data. Disclosed example methods also include classifying a media asset based on the programming information to determine a media asset classification. Disclosed example methods also include building, with the processor, a projection model based on a first subset of the normalized audience measurement data, the first subset of the normalized audience measurement data associated with a first time frame relative to the future quarter, the first subset of the normalized audience measurement data based on the media asset classification, and applying, with the processor, the programming information to the projection model to project ratings for the media asset.
G06Q 30/0202 - Market predictions or forecasting for commercial activities
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
G06Q 50/00 - Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/658 - Transmission by the client directed to the 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 21/45 - 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
91.
METHODS AND APPARATUS TO IDENTIFY STREAMING SESSIONS
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.
Methods, apparatus, and articles of manufacture to correct misattributions of media impressions are disclosed. An example method includes obtaining first demographic-based impressions transmitted via a network in response to access to media by a first set of individuals, obtaining, from a database, second demographic-based impressions of the media accessed by a second set of individuals, and multiplying a vector of database proprietor impression data from the database by a pseudo-inverse matrix representative of misattribution data among a first and second set of individuals to calculate corrected demographic-based impression values.
H04N 21/658 - Transmission by the client directed to the server
G06Q 50/00 - Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04H 60/29 - Arrangements for monitoring broadcast services or broadcast-related services
93.
METHODS AND APPARATUS TO ANALYZE AND ADJUST AGE DEMOGRAPHIC INFORMATION
Example methods, apparatus, systems, and articles of manufacture to facilitate analysis and adjustment of demographic information for monitored audience members are disclosed. Disclosed example methods include receiving a data set including media exposure data and associated data from at least one of a panelist database and a user account database. Disclosed example methods include measuring the data set to determine a probability distribution of user age in the data set according to a first model. Disclosed example methods include comparing the probability distribution of user age to a threshold. Disclosed example methods include adjusting, based on the comparison of the probability distribution of user age to the threshold, the probability distribution to an adjusted probability distribution by replacing the probability distribution with a degenerate distribution. Disclosed example methods include generating audience measurement information based on the data set and the probability distribution and/or the adjusted probability distribution.
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 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
Methods, apparatus, systems, and articles of manufacture are disclosed to perform a self-test of a wireless networking device. Examples disclosed herein include communication controller circuitry to cause the first WNIC to obtain a plurality of data packets from a second WNIC at a frequency. Examples herein further include signal strength determination circuitry to determine a received signal strength indicator (RSSI) value for an antenna of the first WNIC. Examples herein further include performance determination circuitry to increment a counter associated with the antenna when the RSSI value does not satisfy a first threshold and report an error associated with the antenna to a back office facility when the counter associated with the antenna does not satisfy a second threshold.
An example system comprising at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain first time information corresponding to one or more first times that a panelist accessed first media via a television, obtain second time information corresponding to one or more second times that a household accessed second media via an over-the-top device, the second time information matching the first time information and associated with corrected demographic information of members of the household, determine that a first genre of the first media matches a second genre of the second media, determine that a member of the household accessed the second media via the over-the-top device based on historical media access events of the panelist, and attribute the access of the second media to the member of the household to create a corrected demographic impression record.
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 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/442 - 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
96.
METHODS AND APPARATUS TO DETERMINE RATINGS INFORMATION FOR ONLINE MEDIA PRESENTATIONS
Disclosed examples include logging impression records corresponding to pingback messages received in network communications from a client device, ones of the pingback messages corresponding to portions of media presented at the client device; determining a duration impression for the media based on the impression records; dividing the duration impression based on media types corresponding to the portions of the media presented at the client device; and determining demographic characteristics for ones of the media types in the portions of the media.
Example apparatus are to assign a first watermark to a first monitoring track and a second monitoring track, the first watermark detected in an audio stream of media. Example apparatus are also to, in response to at least a first threshold number of watermarks being assigned to the first monitoring track, group the first watermark with one or more other watermarks assigned to the first monitoring track to define a first media detection event. Example apparatus are also to, in response to at least a second threshold number of watermarks being assigned to the second monitoring track, group the first watermark with one or more other watermarks assigned to the second monitoring track to define a second media detection event. Example apparatus are further to cause transmission of the first media detection event and the second media detection event to a data collection facility.
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 21/83 - Generation or processing of protective or descriptive data associated with content; Content structuring
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
98.
Methods and apparatus for wireless communication with an audience measurement device
Methods, apparatus, systems, and articles of manufacture for communication with an audience metering device are disclosed. An example apparatus includes one or more non-transitory computer readable media, instructions in the apparatus, and one or more processors to execute the instructions. The example one or more processors are to segment a message to be transmitted to a configuration device into a first message segment and a second message segment, store the first message segment in a characteristic memory, and transmit a first advertisement to the configuration device when the first message segment is stored in the characteristic memory. Additionally, the example one or more processors are to after the first message segment has been gathered by the configuration device, store the second message segment in the characteristic memory and transmit a second advertisement to the configuration device when the second message segment is stored in the characteristic memory.
Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes programmable circuitry to execute machine readable instructions to: determine a subscriber calibration factor for media based on first panel tuning information obtained from first metering devices in first panelist households that subscribe to a content provider that provides media through return path data (RPD) devices; determine a nonsubscriber calibration factor for the media based on second panel tuning information obtained from second metering devices in second panelist households that do not subscribe to the content provider; and determine a final rating for the media based on an initial rating and at least one of the subscriber calibration factor or the nonsubscriber calibration factor, the initial rating based on RPD tuning information obtained from RPD devices in subscriber households that subscribe to the content provider.
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 21/442 - 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 21/438 - Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving MPEG packets from an IP network
H04N 21/475 - End-user interface for inputting end-user data, e.g. PIN [Personal Identification Number] or preference data
H04H 20/00 - Arrangements for broadcast or for distribution combined with broadcast
H04H 60/64 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for providing detail information
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/658 - Transmission by the client directed to the server
100.
METHODS AND APPARATUS TO COUNT PEOPLE IN AN AUDIENCE
Example apparatus disclosed herein are to determine a location of a portable device based on location data collected by the portable device, determine whether a person is within a threshold distance of the portable device based on proximity data collected by the portable device, and, when the person is determined to be within the threshold distance of the portable device: (i) infer at least one of a presence or an absence of the person in a media exposure environment based on the location of the portable device, (ii) determine a confidence level that the person corresponds to a member of the panelist household, and (iii) determine an accuracy of presence information collected by a people meter based on the confidence level and the inference of the at least one of the presence or the absence of the person, the people meter different than the portable device.
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 21/41 - Structure of client; Structure of client peripherals
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