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Efficient Temporal Segmentation for Sports Programs with Special Cases

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Advances in Multimedia Information Processing - PCM 2010 (PCM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6297))

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Abstract

In sports programs, there are many special cases making shot boundary detection difficult. Targeted for these special cases, not be considered by existing work, this paper presents a shot boundary detection scheme to detect both cuts and gradual transition efficiently. For shot detection, the algorithm is proposed to resist continuous flashes, camera occlusion or image blur that have not been considered before. For gradual transition detection, a unified method is presented to detect various transitions or special effects, together with an algorithm to reduce the false positives caused by fast camera or object motions. The cut detection and gradual transition detection are implemented serially to avoid repeated detection operations. Compared with existing typical works, the proposed scheme obtains higher correct detection rate and fast detection speed, and is more suitable for sports program analysis.

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Author information

Authors and Affiliations

  1. France Telecom (Orange Labs) Beijing, Beijing, 100080, China

    Shiguo Lian & Haila Wang

  2. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Yuan Dong

Authors
  1. Shiguo Lian
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  2. Yuan Dong
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  3. Haila Wang
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Nottingham, Jubilee Campus, NG8 1BB, Nottingham, UK

    Guoping Qiu

  2. The Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, Hong Kong, China

    Kin Man Lam

  3. Faculty of System Design, Tokyo Metropolitan University, 6-6, Asahigaoka, 191-0065, Hino-city, Tokyo

    Hitoshi Kiya

  4. Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering, Fudan University, Shanghai, China

    Xiang-Yang Xue

  5. Department of Electrical Engineering, University of Southern California, 90089-2564, Los Angeles, CA

    C.-C. Jay Kuo

  6. LIACS Media Lab, Leiden University,  

    Michael S. Lew

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© 2010 Springer-Verlag Berlin Heidelberg

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Lian, S., Dong, Y., Wang, H. (2010). Efficient Temporal Segmentation for Sports Programs with Special Cases. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_35

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  • DOI: https://doi.org/10.1007/978-3-642-15702-8_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15701-1

  • Online ISBN: 978-3-642-15702-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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