Audio Feature Extraction & Analysis for Scene Classification

نویسندگان

  • Zhu Liu
  • Jincheng Huang
  • Yao Wang
  • Tsuhan Chen
چکیده

Analysis and classification of the scene content of a video sequence are very important for content-based indexing and retrieval of multimedia databases. In this paper, we report our research on using the associated audio information for video scene classification. We describe several audio features that have been found effective in distinguishing audio characteristics of different scene classes. Based on these features, a neural net classifier was quite successful in separating audio clips from different TV programs.

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تاریخ انتشار 1997