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Fast video search using scene durations

Published:31 October 2008Publication History

ABSTRACT

This paper presents a fast video search method that uses the durations of scenes of a query clip to find similar clips in an existing large database of videos. Using scene durations is a very fast method; however it returns a large number of false candidates and will not find the correct candidates if some scene changes are missed in the query clip or the database videos. The first problem can be solved by further refining the results of the scene duration search by comparing these results with the query clip using other, more detailed characteristics like brightness histogram. The second problem can be solved by introducing flexibility in the duration and existence of a scene. Numerical results show the efficiency of the scene duration search and its robustness against drawbacks of the basic scene detection algorithm. The presented methodology is used in the video search part of project DIVAS of the EU Framework Programme.

References

  1. N. Achilleopoulos, C. Theoharatos, F. Andritsopoulos and S. Papastefanos, "An Extensible Scheme for Direct Searching in Audiovisual Archives: The DIVAS System", IEEE International Symposium on Consumer Electronics, April 2008, Algarve, PortugalGoogle ScholarGoogle ScholarCross RefCross Ref
  2. H. S. Chang, S. Sull, and S. U. Lee, "Efficient video indexing Scheme for content-based retrieval," IEEE Trans. CircuitsSyst. Video Technol., vol. 9, no. 8, Dec. 1999 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. DIVAS Web site, http://www.ist-divas.eu/portal/Google ScholarGoogle Scholar
  4. K. Kashino, T. Kurozumi, and H. Murase, "A quick search method for audio and video signals based on histogram pruning," IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 3, Sep. 2003 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. Yuan, Q. Tian, and S. Ranganath, "Fast and robust search method for short video clips from large video collection," in ICPR '04: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3, 2004, pp. 866--869. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      AREA '08: Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
      October 2008
      132 pages
      ISBN:9781605583181
      DOI:10.1145/1463542

      Copyright © 2008 ACM

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      New York, NY, United States

      Publication History

      • Published: 31 October 2008

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