Detection of Spirited Incidental Music in Movies

نویسندگان

  • Wei-Ta Chu
  • Ja-Ling Wu
چکیده

This paper presents a framework for detecting spirited incidental music that is often accompanied with highlighted parts of a movie. A speech/music discrimination module is first developed to tell clips with speech or music apart. Then spirited music models are trained and used to classify the clips with incidental music into spirited or smooth ones. This two-stage framework facilitates automatic detection of spirited parts and provides a basis for efficient movie analysis.

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تاریخ انتشار 2005