Incorporating Audio Cues into Dialog and Action Scene Extraction

نویسندگان

  • Lei Chen
  • Shariq J. Rizvi
  • M. Tamer Özsu
چکیده

In this paper, we present an approach to extract scenes in video. The approach is top-down and uses video editing rules and audio cues to extract simple dialog and action scenes. The underlying model is a finite state machine coupled with audio cues that are determined using an audio classifier.

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تاریخ انتشار 2003