Abstract: A system and method are disclosed that improve the efficiency and performance of an Automatic Content Recognition (ACR) system. Several approaches are described that may be used alone or in combination to reduce total system computational costs related to the manner in which such an ACR means takes samples, called “fingerprints,” of digital content being played by a television display device and transmits said fingerprints to a remote server to be compared to a database of fingerprints from known programming. Methods are described for implementing such system performance enhancement including varying sampling rates and other resolution metrics during the process of creating such fingerprints and transmitting them to the database server. The system and method disclosed also describes how to reduce the probability that, when compared to samples from already-identified programming, such fingerprints are incorrectly identified as being of programming other than that which they are in fact derived from.

Abstract: A system and method is disclosed for resolving false positives in a centralized, real-time automatic content recognition system that is ingesting, fingerprinting, and attempting to match for recognition purposes, multiple streams of broadcast content that are simultaneously arriving from a plurality of sources. In particular, the problem of identifying which specific broadcast of certain programming has been matched, including the episode of a series, as well as the channel, time zone and time of broadcast and whether the programing is being watched “live” as broadcast or from a DVR time-shifted source, is addressed. This system and method enables the processing means of any connected TV viewing means to synchronize with a regional automated content recognition (ACR) center with regard to displaying at the correct time certain supplemental information or other media that may be associated with certain programing.

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 sub-divided 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: Systems and methods for deriving data from television signals received by a connected television system, the derived data being indicative of a subject related to a video segment being displayed on said screen. The systems and methods may further provide contextually targeted content to the television system, the contextually targeted content being a function of the derived data.

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 the 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 data from the television signals, the derived data being indicative of the video segment being displayed on the 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 deriving data from television signals received by a connected television system, the derived data being indicative of a subject related to a video segment being displayed on said screen. The systems and methods may further provide contextually targeted content to the television system, the contextually targeted content being a function of the derived data.

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 the 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.