Abstract: Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.

Abstract: A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.

Abstract: Provided are devices, computer-program products, and methods related to removing redundant data associated with frames. For example, a method can include storing a plurality of reference data sets in a reference database, where a reference data set is associated with a media segment. The method can further include receiving, by a server, cue data for a frame. The cue data includes a plurality of pixel data samples from the frame, and the frame is associated with an unidentified media segment. The method can further include identifying an absence of a pixel data sample from the cue data for the frame, and matching the cue data for the frame to a reference data set. The matching can include using a previous pixel data sample from a previous frame. The previous pixel data sample corresponds to the pixel data sample absent from the frame, and the reference data set is associated with a media segment. The method can further include determining the unidentified media segment is the media segment.

Abstract: A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.

Abstract: Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.

Abstract: Provided are methods, devices, and computer-program products for determining an accuracy score for a device mapping system. In some examples, the accuracy score can be based on a device map of the device mapping system and viewing data from an automated content recognition component. In such examples, the accuracy score can indicate whether the device mapping system is assigning similar categories to devices that have similar player of media content. In some examples, a device map can be determined to be random, indicating that the device mapping system is inaccurate. In contrast, if the device map is determined to have a sufficiently low probability of being merely random in nature, the device mapping system can be determined to be accurate.

Abstract: Provided are devices, computer-program products, and methods for removing redundant data associated with frames. For example, a method can include receiving an initial frame, determining initial cue data for the initial frame, and sending the initial cue data to a server. The method can further include receiving a new frame and determining new cue data for the new frame. The method can further include identifying a pixel value range. The method can further include determining a pixel value difference between an initial pixel data sample and a new pixel data sample. The method can further include determining the pixel value difference is within the pixel value range and updating the new cue data by removing the new pixel data sample from the new cue data when the pixel value difference is within the pixel value range. The method can further include sending the updated new cue data to the server.

Abstract: A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.

Abstract: Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving data from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, but also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.

Abstract: Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving date from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, hut also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.

Abstract: A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.

Abstract: A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.

Abstract: A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.