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A Content-Based News Video Browsing and Retrieval System: NewsBR

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Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3332))

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Abstract

An advanced content-based news video browsing and retrieval system, NewsBR, is proposed in this work. The system is built on high-accuracy news story segmentation and topic caption text extraction. Its main features include category-based news story browsing, key-frame-based video abstract and keyword-based news story retrieval. In the paper, news story segmentation and topic caption text extraction, as well as content-based video browsing and retrieval, are addressed in detail. The system is helpful and effective for the overall understanding of the news video content.

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Author information

Authors and Affiliations

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

    Huayong Liu

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

    Zhang Hui

Authors
  1. Huayong Liu
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  2. Zhang Hui
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan

    Kiyoharu Aizawa

  2. Tokyo Research Laboratory, IBM Research, 1623-14 Shimo-tsuruma, 242-0001, Yamato, Kanagawa, Japan

    Yuichi Nakamura

  3. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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© 2004 Springer-Verlag Berlin Heidelberg

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Liu, H., Hui, Z. (2004). A Content-Based News Video Browsing and Retrieval System: NewsBR. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30542-2_25

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  • DOI: https://doi.org/10.1007/978-3-540-30542-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23977-2

  • Online ISBN: 978-3-540-30542-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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