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AssigneeGracenote, Inc.
InventorsJose Pio Pereira, Sunil Suresh Kulkarni, Oleksiy Bolgarov, Prashant Ramanathan, Shashank Merchant, Mihailo Stojancic
Estimating the term…
Content segmentation, categorization and identification methods are described. Content tracking approaches are illustrated that are suitable for large scale deployment. Time-aligned applications such as multi-language selection, customized advertisements, second screen services and content monitoring applications can be economically deployed at large scales. A client performs fingerprinting, scene change detection, audio turn detection, and logo detection on incoming video and gathers database search results, logos and text to identify and segment video streams into content, promos, and commercials. A learning engine is configured to learn rules for optimal identification and segmentation at each client for each channel and program. Content sensed at the client site is tracked with reduced computation and applications are executed with timing precision. A user interface for time-aligned publishing of content and subsequent usage and interaction on one or more displays is also described.
A method for time aligned identification of video content playing on an electronic client device, the method comprising:
A method of providing time-aligned services on broadcast non-recorded content, the method comprising:
A method to identify and track video content by an electronic user device, the method comprising:
A computer readable non-transitory medium encoded with computer readable program data and code, the computer readable program data and code when executed to perform:
Dependencies are inferred from the claim text.