Systems and methods are described herein for efficiently “catching-up” a user that is interested in a media asset when that user has missed a portion of the media asset while consuming the media asset together with other people. The system may detect that multiple people are consuming a media asset and may determine, based on a respective profile of each person, whether that person is interested in the media asset. When the system detects that the user is disregarding the media asset, the missed portion of the media asset is stored if the user is interested in the media asset, and is not stored if the user is not interested in the media asset.

Systems and methods are described herein for efficiently “catching-up” a user that is interested in a media asset when that user has missed a portion of the media asset while consuming the media asset together with other people. The system may detect that multiple people are consuming a media asset and may determine, based on a respective profile of each person, whether that person is interested in the media asset. When the system detects that the user is disregarding the media asset, the missed portion of the media asset is stored if the user is interested in the media asset, and is not stored if the user is not interested in the media asset.

Methods and apparatus to verify and/or correct media lineup information are disclosed. Disclosed example apparatus include a signature comparator to, when media presentation data representative of media output by a media device does not correspond to reference data associated with first reference media corresponding to a first station: identify a plurality of first signatures in a database that matches a plurality of second signatures included in the media presentation data, the plurality of first signatures including at least one of first audio signatures or first video signatures, the plurality of second signatures including at least one of second audio signatures or second video signatures generated from the media output by the media device; and determine second reference media corresponding to the plurality of first signatures; and memory to store the media presentation data.

Methods and apparatus to verify and/or correct media lineup information are disclosed. Disclosed example apparatus include a signature comparator to, when media presentation data representative of media output by a media device does not correspond to reference data associated with first reference media corresponding to a first station: identify a plurality of first signatures in a database that matches a plurality of second signatures included in the media presentation data, the plurality of first signatures including at least one of first audio signatures or first video signatures, the plurality of second signatures including at least one of second audio signatures or second video signatures generated from the media output by the media device; and determine second reference media corresponding to the plurality of first signatures; and memory to store the media presentation data.

A system and method for generating analytics for entities depicted in multimedia content, including: identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to a predetermined social pattern threshold, wherein each social linking score is generated based on contexts of at least one multimedia content element (MMCE) in which at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold; and generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

A system and method for generating analytics for entities depicted in multimedia content, including: identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to a predetermined social pattern threshold, wherein each social linking score is generated based on contexts of at least one multimedia content element (MMCE) in which at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold; and generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the computing system could then take channel-specific action based on the determined channel.

A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the server then takes channel-specific action based on the determined channel.

A computer-implemented method for providing cinematic content to a user via a computer-controlled media player includes accessing by a processor a content package including a targeted emotional arc and a collection of digital objects each associated with codes indicating an emotional profile of the each digital object, playing digital objects selected from the content package thereby outputting an audio-video signal for display by an output device; receiving sensor data from at least one sensor positioned to sense a biometric feature of a user watching the output device; determining a value of one or more emotional state variables, based on the sensor data; and selecting the digital objects for the playing based on the one or more emotional state variables, a recent value of the targeted emotional arc, and the one or more codes indicating an emotional profile. An apparatus is configured to perform the method using hardware, firmware, and/or software.

A method for presenting an object based on a biometric feature includes obtaining information about a first object that a user is gazing at, and biometric feature information of the user gazing at the first object; recognizing a satisfaction status for the obtained biometric feature information of the user gazing at the first object; and determining and presenting information about a second object based on the recognition of the satisfaction status for the biometric feature information of the user gazing at the first object.