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Extracting Semantic Information from Basketball Video Based on Audio-Visual Features

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Book cover Image and Video Retrieval (CIVR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2383))

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Abstract

In this paper, we propose a mechanism for extracting semantic information from basketball video sequence using audio and video features. After we divide the input video into shots by a simple cut detection algorithm using visual information, we analyze audio signal data to predict the location of an important event from which a cheering sound happens to start using the combination of MFCC features and the LPC entropy. Finally, we extract semantics about class of shot by computer vision techniques such as basketball tracking and related objects detection. Experimental results show that the proposed scheme can concretely extract semantics from basketball video data as compared to the existing methods.

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Author information

Authors and Affiliations

  1. Key Technology and Research Center, Agency for Defense Development, South Korea

    Kyungsu Kim

  2. Dept. of Computer Science, Chosun college of Science & Technology, Korea

    Namjung Kim

  3. Dept. of Computer Science and Engineering, Chosun University, Gwangju, 501-759, Korea

    Junho Choi & Pankoo Kim

Authors
  1. Kyungsu Kim
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  2. Junho Choi
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  3. Namjung Kim
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  4. Pankoo Kim
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Editor information

Editors and Affiliations

  1. LIACS Media Lab, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Michael S. Lew  & Nicu Sebe  & 

  2. Institute for Image Data Research, University of Northumbria, Newcastle, NE1 8ST, UK

    John P. Eakins

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© 2002 Springer-Verlag Berlin Heidelberg

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Kim, K., Choi, J., Kim, N., Kim, P. (2002). Extracting Semantic Information from Basketball Video Based on Audio-Visual Features. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_30

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  • DOI: https://doi.org/10.1007/3-540-45479-9_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43899-1

  • Online ISBN: 978-3-540-45479-3

  • eBook Packages: Springer Book Archive

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