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Fast video search using scene durations

Published: 31 October 2008 Publication 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, Portugal
[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
[3]
DIVAS Web site, http://www.ist-divas.eu/portal/
[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
[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.

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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 October 2008

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Author Tags

  1. audiovisual search
  2. compressed domain
  3. multimedia content

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  • Research-article

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MM08
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MM08: ACM Multimedia Conference 2008
October 31, 2008
British Columbia, Vancouver, Canada

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