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International Conference on Web-Age Information Management

WAIM 2005: Advances in Web-Age Information Management pp 870–875Cite as

The Segmentation of News Video into Story Units

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

Abstract

The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 85.8% and the recall rate 97.5% are obtained. The experimental results show the approach is valid and robust.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Central China Normal University, Wuhan, 430079, Hubei, P.R. China

    Liu Huayong

  2. Finance Department of Business School, Wuhan University, Wuhan, 430072, Hubei, P.R. China

    Zhang Hui

Authors
  1. Liu Huayong
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  2. Zhang Hui
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Editor information

Editors and Affiliations

  1. University of Edinburgh & Bell Laboratories,  

    Wenfei Fan

  2. College of Computer Science, Zhejiang University, 310027, Hangzhou, Zhejiang, China

    Zhaohui Wu

  3. Dept. of E. I. E, Huazhong University of Science and Technology, Wuhan, China

    Jun Yang

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Huayong, L., Hui, Z. (2005). The Segmentation of News Video into Story Units. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_95

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  • DOI: https://doi.org/10.1007/11563952_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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