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Combining Short and Long Term Audio Features for TV Sports Highlight Detection

  • Bin Zhang
  • Weibei Dou
  • Liming Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3936)

Abstract

As bearer of high-level semantics, audio signal is being more and more used in content-based multimedia retrieval. In this paper, we investigate TV tennis game highlight detection based on the use of both short and long term audio features and propose two approaches, decision fusion and hierarchical classifier, in order to combine these two kinds of audio features. As more information is included in decision making, the overall performance of the system is enhanced.

Keywords

Audio Signal Audio Feature Decision Fusion Term Feature Spectrum Envelope 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bin Zhang
    • 1
  • Weibei Dou
    • 1
  • Liming Chen
    • 2
  1. 1.Tsinghua UniversityBeijingChina
  2. 2.LIRIS CNRS UMR 5205, Ecole Centrale de LyonFrance

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