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Aggregated feature retrieval for MPEG-7 via clustering

Published: 25 July 2004 Publication History

Abstract

In this paper, we describe an approach to combining text and visual features from MPEG-7 descriptions of video. A video retrieval process is aligned to a text retrieval process based on the TF*IDF vector space model via clustering of low-level visual features. Our assumption is that shots within the same cluster are not only similar visually but also semantically, to a certain extent. Our experiments on the TRECVID2002 and TRECVID2003 collections show that adding extra meaning to a shot based on the shots from the same cluster is useful when each video in a collection contains a high proportion of similar shots, for example in documentaries.

References

[1]
Martinez, J.M. (ed.) MPEG-7 Overview (v.9.0), MPEG/N5525, Pattaya, Mar 2003. Last visit: 24 Apr 2004, http://www.chiariglione.org/mpeg/standards/mpeg-7/mpeg-7.htm.
[2]
Smeaton, A.F. and Over, P. The TREC 2002 Video Track Report. In The 11th Text Retrieval Conference, Gaithersburg, Nov 2002, 69--85.
[3]
Westerveld, T., Vries, A.P., Ianeva, T., Boldareva, L. and Hiemstra, D. Combining Information Sources for Video Retrieval. In the 12th Text Retrieval Conference, Gaithersburg, Nov 2003.
[4]
Yager, R. A Hierarchical Document Retrieval Language. Information Retrieval, Vol.3, No.4, Dec 2000, 357--377.
[5]
Ye, J. and Smeaton, A.F. Aggregated Feature Retrieval for MPEG-7. In the Proceedings of 25th European Conference on IR Research, Pisa, Apr 2003, 563--570.

Cited By

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  • (2010)Image Clustering and Retrieval using MPEG‐7The Handbook of MPEG Applications10.1002/9780470974582.ch9(221-239)Online publication date: 4-Oct-2010

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Published In

cover image ACM Conferences
SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
July 2004
624 pages
ISBN:1581138814
DOI:10.1145/1008992
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: 25 July 2004

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Author Tags

  1. MPEG-7
  2. TRECVID
  3. clustering
  4. video retrieval

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2010)Image Clustering and Retrieval using MPEG‐7The Handbook of MPEG Applications10.1002/9780470974582.ch9(221-239)Online publication date: 4-Oct-2010

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