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An Audio/Video Analysis Mechanism for Web Indexing

  • Marco Furini, University of Piemonte Orientale, Italy
  • Marco Aragone, University of Piemonte Orientale, Italy

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Track: Posters

The high availability of video streams is making necessary mechanisms for indexing such contents in the Web world. In this paper we focus on news programs and we propose a mechanism that integrates low and high level video features to provide a high level semantic description. A color/luminance analysis is coupled with audio analysis to provide a better identification of all the video segments that compose the video stream. Each video segment is subject to speech detection and is described through MPEG7 so that the resulting metadata description can be used to index the video stream. An experimental evaluation shows the benefits of integrating audio and video analysis.

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