Skip to main content
SpringerLink
Log in

A News Video Browser Using Identical Video Segment Detection

  • Conference paper
Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

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

Included in the following conference series:

Abstract

Structuring video archives is an important task to make full use of them. In broadcast news videos, some kind of video segments appears repeatedly. Those segments, which we call identical video segments, are useful for structuring or analyzing video database on our observation. In order to confirm that, we searched identical video segments from 350 hours-long broadcast news video archive and implemented a news video browser using results of identical video segment detection. We found that the distribution of those segments can be used to extract important topics from the news archive, and also found that time intervals of appearance of the same video segment can be used for classify identical video segments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Satoh, S.: News video analysis based on identical shot detection. In: Proc. of CME (2002)

    Google Scholar 

  2. Cheung, S.S., Zakhor, A.: Video Similarity Detection with Video Signature Clustering. In: Proc. of ICIP, pp. 649–652 (2001)

    Google Scholar 

  3. Katayama, N., Satoh, S.: Distinctiveness-Sensitive Nearest-Neighbor Search for Efficient Similarity Retrieval of Multimedia Information. In: Proc. of ICDE, pp. 493–502 (2001)

    Google Scholar 

  4. Yamagishi, F., Satoh, S., Hamada, T., Sakauchi, M.: Identical Video Segment Detection For Large-Scale Broadcast Video Archive. In: International Workshop on Content-Based Multimedia Indexing 2003 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The University of Tokyo, Japan

    Fuminori Yamagishi

  2. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan

    Shin’ichi Satoh & Masao Sakauchi

Authors
  1. Fuminori Yamagishi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shin’ichi Satoh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Masao Sakauchi
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yamagishi, F., Satoh, S., Sakauchi, M. (2004). A News Video Browser Using Identical Video Segment Detection. 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_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30542-2_26

  • 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)

Publish with us

Policies and ethics

Search

Navigation