An example method includes obtaining a plurality of candidate media segments for possible inclusion in a single stream of media segments that is personalized for a first user, wherein at least one candidate media segment of the plurality of candidate media segments comprises an excerpt from a media asset, selecting, based on a known media consumption behavior of the first user, a subset of the plurality of candidate media segments, wherein the subset includes candidate media segments of the plurality of candidate media segments that are to be included in the single stream of media segments, modifying at least one candidate media segment in the subset based on the known media consumption behavior of the first user, and compiling the subset into the single stream of media segments, wherein the single stream of media segments includes the at least one candidate media segment in the subset that was modified.

A method and system for enhancement of video systems using wireless device proximity detection. The enhanced video system consists of one or more video capture devices along with one or more sensors detecting the presence of devices with some form of wireless communications enabled. The proximity of a device communicating wirelessly is sensed and cross referenced with received video image information. Through time, movement of wirelessly communicating mobile devices through a venue or set of venues can be deduced and additionally cross referenced to and augmented over image data from the set of video capture devices.

A method and system for enhancement of video systems using wireless device proximity detection. The enhanced video system consists of one or more video capture devices along with one or more sensors detecting the presence of devices with some form of wireless communications enabled. The proximity of a device communicating wirelessly is sensed and cross referenced with received video image information. Through time, movement of wirelessly communicating mobile devices through a venue or set of venues can be deduced and additionally cross referenced to and augmented over image data from the set of video capture devices.

Methods and systems for automatically evaluating an audio description track of a media asset include initializing a rating of an audio description track of a media asset to a default value; receiving a first video frame and a second video frame of the media asset; detecting an object in the first video frame and the second video frame; determining that a difference in a characteristic of the object between the first video frame and the second video frame exceeds a threshold difference; determining that an audio characteristic in a portion of the audio description track that corresponds to the first video frame and the second video frame exceeds a threshold audio characteristic; and increasing the rating of the audio description track by a unit.

Methods and systems for automatically evaluating an audio description track of a media asset include initializing a rating of an audio description track of a media asset to a default value; receiving a first video frame and a second video frame of the media asset; detecting an object in the first video frame and the second video frame; determining that a difference in a characteristic of the object between the first video frame and the second video frame exceeds a threshold difference; determining that an audio characteristic in a portion of the audio description track that corresponds to the first video frame and the second video frame exceeds a threshold audio characteristic; and increasing the rating of the audio description track by a unit.

An approach for streaming audio feeds independently from visual feeds is provided. The approach includes processing programming information associated with one or more first devices proximate a user to determine one or more programs presented by the one or more first devices. The approach also includes presenting a user interface to the user for selecting from among the one or more programs. In addition, the approach includes determining an input from the user for selecting at least one of the one or more programs. The approach further includes streaming an audio feed of the at least one of the one or more programs to a second device associated with the user.

In a communication system where a channel feed carrying a media stream is broadcast for delivery of the media stream to a media client, where the channel feed further includes metadata in-band and correlated with a content frame of the media stream, but where the metadata gets removed from the channel feed before the media stream reaches the media client, a computing system (i) extracts the metadata from the channel feed and (ii) transmits out-of-band to the media client the extracted metadata in correlation with reference fingerprint data representing the frame of the media stream, the correlation being useable by the media client as a basis to re-correlate the metadata with the frame of the media stream, so as to enable the media client to carry out an action, such as dynamic ad insertion, based on the correlation of the metadata with the frame of the media stream.

In a communication system where a channel feed carrying a media stream is broadcast for delivery of the media stream to a media client, where the channel feed further includes metadata in-band and correlated with a content frame of the media stream, but where the metadata gets removed from the channel feed before the media stream reaches the media client, a computing system (i) extracts the metadata from the channel feed and (ii) transmits out-of-band to the media client the extracted metadata in correlation with reference fingerprint data representing the frame of the media stream, the correlation being useable by the media client as a basis to re-correlate the metadata with the frame of the media stream, so as to enable the media client to carry out an action, such as dynamic ad insertion, based on the correlation of the metadata with the frame of the media stream.

A method for a frame certainty metric for automatic content recognition. The method includes determining a frame match between media device frames of a media device stream relative to broadcast frames of a broadcast media stream and determining whether to shift the frame match by determining the following: a first frame certainty metric based on a first media device fingerprint and a target broadcast fingerprint; a second frame certainty metric based on a second media device fingerprint sequentially adjacent the first media device fingerprint and the target broadcast fingerprint; a third frame certainty metric based on a third media device fingerprint sequentially adjacent the first media device fingerprint and the target broadcast fingerprint; and a greatest frame certainty metric. The method further includes identifying the media device fingerprint corresponding to the greatest frame certainty metric as a target media device fingerprint matching the target broadcast fingerprint.

A method for a frame certainty metric for automatic content recognition. The method includes determining a frame match between media device frames of a media device stream relative to broadcast frames of a broadcast media stream and determining whether to shift the frame match by determining the following: a first frame certainty metric based on a first media device fingerprint and a target broadcast fingerprint; a second frame certainty metric based on a second media device fingerprint sequentially adjacent the first media device fingerprint and the target broadcast fingerprint; a third frame certainty metric based on a third media device fingerprint sequentially adjacent the first media device fingerprint and the target broadcast fingerprint; and a greatest frame certainty metric. The method further includes identifying the media device fingerprint corresponding to the greatest frame certainty metric as a target media device fingerprint matching the target broadcast fingerprint.