Scene change detection by audio and video clues

نویسندگان

  • Shu-Ching Chen
  • Mei-Ling Shyu
  • Wenhui Liao
  • Chengcui Zhang
چکیده

Automatic video scene change detection is a challenging task. Using audio or visual information alone often cannot provide a satisfactory solution. However, how to combine audio and visual information efficiently still remains a difficult issue since there are various cases in their relationship due to the versatility of videos. In this paper, we present an effective scene change detection method that adopts the joint evaluation of the audio and visual features. First, video information is used to find the shot boundaries. Second, the audio features for each video shot can be extracted. Lastly, an audio-video combination schema is proposed to detect the video scene boundaries.

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تاریخ انتشار 2002