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ARGOS: Automatically Extracting Repeating Objects From Multimedia Streams

Overview Many media streams consist of distinct objects that repeat. For example, broadcast television and radio signals contain advertisements, call sign jingles, songs, and even whole programs that repeat. The problem the paper addresses is to explicitly identify the underlying structure in repetitive streams and de-construct them into their component objects. The algorithm exploits dimension reduction techniques on the audio portion of a multimedia stream to make search and buffering feasible. The architecture assumes no a priori knowledge of the streams, and does not require that the Repeating Objects (ROs) be known. This paper outlines the algorithms; enumerate several applications and present results from real broadcast streams.

Further White Paper Details
Publisher	Institute of Electrical and Electronics Engineers	File Format	PDF
Date Published	February 2006
Format	White Papers
Topics	Multimedia, Software Engineering, Application Development

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