Abstract: Methods, apparatus, and systems are disclosed to measure media consumption. An apparatus includes a memory, machine readable instructions, and processor circuitry to instantiate or execute the machine readable instructions to access a domain pattern signature representative of a request to obtain media, the domain pattern signature includes (a) a set of domain names and (b) one or more of a location of the request, a time of the request, or a characteristic of a device used to execute the request, compare the domain pattern signature to one or more reference signatures, determine a first reference signature includes (a) a matching set of domain names and (b) one or more of a matching location of the request, a matching time of the request, or a matching characteristic of the device used to execute the request, and credit the domain pattern signature with an Internet site associated with the first reference signature.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that improve short content identification in an audio stream through channel change detection and audio block realignment. Example instructions cause one or more processors to form a first audio block from an audio stream, detect whether the first audio block contains a channel change, the first audio block being one of a plurality of audio blocks the accessed audio, determine an offset of time from a beginning of the first audio block to when the channel change occurs in response to the channel change being detected in the first audio block, and create a new audio block aligned to start at the offset of time beyond the beginning of the first audio block using audio information from the audio stream, the new audio block to include a single channel of audio stream data.

Abstract: 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.

Abstract: 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.

Abstract: Methods, apparatus, and systems are disclosed to measure media consumption. An apparatus includes a memory, machine readable instructions, and processor circuitry to instantiate or execute the machine readable instructions to access a domain pattern signature representative of a request to obtain media, the domain pattern signature includes (a) a set of domain names and (b) one or more of a location of the request, a time of the request, or a characteristic of a device used to execute the request, compare the domain pattern signature to one or more reference signatures, determine a first reference signature includes (a) a matching set of domain names and (b) one or more of a matching location of the request, a matching time of the request, or a matching characteristic of the device used to execute the request, and credit the domain pattern signature with an Internet site associated with the first reference signature.

Abstract: 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.

Abstract: Methods and systems for automated construction of an anonymized facial recognition library are disclosed. A camera of a client device may capture a first plurality of images of faces of members of a panel of viewers of media content presented on a content presentation device collocated with the client device during viewing sessions. A first machine learning (ML) model may be applied to the first plurality to generate a second plurality of feature vectors, each associated with a different one of the images. One or more clusters of feature vectors of the second plurality may be computationally determined within a vector space of the feature vectors. A respective centroid feature vector may be determined for each respective cluster, and assigned a unique ID. A respective association between each cluster ID and a respective name ID may be determined based on panel-member information received at the client device.

Abstract: 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.

Abstract: Examples are disclosed to perform signature matching using noise cancellation models to achieve consensus. Example apparatus disclosed herein include a signature matcher to compare a first stream of monitored media signatures to streams of reference signatures representative of corresponding reference media to determine a first signature match, and compare a second stream of monitored media signatures to the streams of reference signatures to determine a second signature match; a match selector to use at least one the first signature match or the second signature match to identify a first one of the reference media corresponding to the monitored media data; and a creditor interface to output identification data for the first one of the reference media identified with the at least one the first signature match or the second signature match, the identification data to be used to credit a media exposure corresponding to the monitored media.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that improve short content identification in an audio stream through channel change detection and audio block realignment. Example instructions cause one or more processors to form a first audio block from an audio stream, detect whether the first audio block contains a channel change, the first audio block being one of a plurality of audio blocks the accessed audio, determine an offset of time from a beginning of the first audio block to when the channel change occurs in response to the channel change being detected in the first audio block, and create a new audio block aligned to start at the offset of time beyond the beginning of the first audio block using audio information from the audio stream, the new audio block to include a single channel of audio stream data.

Abstract: Methods, apparatus, and systems are disclosed to measure media consumption. An apparatus includes a memory, machine readable instructions, and processor circuitry to instantiate or execute the machine readable instructions to access a domain pattern signature representative of a request to obtain media, the domain pattern signature includes (a) a set of domain names and (b) one or more of a location of the request, a time of the request, or a characteristic of a device used to execute the request, compare the domain pattern signature to one or more reference signatures, determine a first reference signature includes (a) a matching set of domain names and (b) one or more of a matching location of the request, a matching time of the request, or a matching characteristic of the device used to execute the request, and credit the domain pattern signature with an Internet site associated with the first reference signature.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to measure media consumption. An apparatus includes a controller to trigger execution of a request to obtain media from an Internet site, and a reference signature generator to identify a set of domain names generated during the execution of the request, and generate a reference signature based on (a) the set of domain names and (b) one or more of a location of the request, a time of the request, or a characteristic of a device used to execute the request.

Abstract: Examples are disclosed to perform signature matching using noise cancellation models to achieve consensus. Example apparatus disclosed herein include a signature matcher to compare a first stream of monitored media signatures to streams of reference signatures representative of corresponding reference media to determine a first signature match, and compare a second stream of monitored media signatures to the streams of reference signatures to determine a second signature match; a match selector to use at least one the first signature match or the second signature match to identify a first one of the reference media corresponding to the monitored media data; and a creditor interface to output identification data for the first one of the reference media identified with the at least one the first signature match or the second signature match, the identification data to be used to credit a media exposure corresponding to the monitored media.

Abstract: 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.

Abstract: Examples are disclosed to perform signature matching using noise cancellation models to achieve consensus. Example apparatus disclosed herein include a signature matcher to compare a first stream of monitored media signatures to streams of reference signatures representative of corresponding reference media to determine a first signature match, and compare a second stream of monitored media signatures to the streams of reference signatures to determine a second signature match; a match selector to use at least one the first signature match or the second signature match to identify a first one of the reference media corresponding to the monitored media data; and a creditor interface to output identification data for the first one of the reference media identified with the at least one the first signature match or the second signature match, the identification data to be used to credit a media exposure corresponding to the monitored media.

Abstract: Methods and apparatus to measure brand exposure in media streams are disclosed. An example method to determine brand exposures included in media content disclosed herein comprises determining whether a scene detected from a media stream corresponding to the media content matches a reference scene, identifying an expected region of interest in the detected scene based on information describing the reference scene when the detected scene is determined to match the reference scene and the reference scene is not specified to be a scene of no interest, and determining whether a reference brand identifier associated with the reference scene is included in the expected region of interest identified in the detected scene.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to measure media consumption. An apparatus includes a controller to trigger execution of a request to obtain media from an Internet site, and a reference signature generator to identify a set of domain names generated during the execution of the request, and generate a reference signature based on (a) the set of domain names and (b) one or more of a location of the request, a time of the request, or a characteristic of a device used to execute the request.

Abstract: Methods and apparatus to measure brand exposure in media streams are disclosed. An example method to determine brand exposures included in media content disclosed herein comprises determining whether a scene detected from a media stream corresponding to the media content matches a reference scene, identifying an expected region of interest in the detected scene based on information describing the reference scene when the detected scene is determined to match the reference scene and the reference scene is not specified to be a scene of no interest, and determining whether a reference brand identifier associated with the reference scene is included in the expected region of interest identified in the detected scene.

Abstract: Methods and apparatus to measure brand exposure in media streams are disclosed. Disclosed example apparatus include a scene detector to compare a signature of a detected scene of a media presentation with a library of signatures to identify a first reference scene, and a scene classifier to classify the detected scene as a scene of changed interest when a first region of interest in the detected scene does not include a first reference brand identifier included in a corresponding region of interest in the first reference scene. Disclosed example apparatus further include a graphical user interface to present the detected scene, prompt for selection of an area of the first region of interest in the detected scene, and compare the selected area to a library of reference brand identifiers to identify a second reference brand identifier included in the first region of interest in the detected scene.

Abstract: Methods and apparatus to measure brand exposure in media streams are disclosed. Disclosed example apparatus include a scene detector to compare a signature of a detected scene of a media presentation with a library of signatures to identify a first reference scene, and a scene classifier to classify the detected scene as a scene of changed interest when a first region of interest in the detected scene does not include a first reference brand identifier included in a corresponding region of interest in the first reference scene. Disclosed example apparatus further include a graphical user interface to present the detected scene, prompt for selection of an area of the first region of interest in the detected scene, and compare the selected area to a library of reference brand identifiers to identify a second reference brand identifier included in the first region of interest in the detected scene.