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VideoAL: a novel end-to-end MPEG-7 video automatic labeling system

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5 Author(s)
Ching-Yung Lin ; IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA ; B. L. Tseng ; M. Naphade ; A. Natsev
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In this paper, we describe a novel end-to-end video automatic labeling system, which accepts MPEG-I sequence inputs and generates MPEG-7 XML metadata files based on the prior established anchor models. Seven modules were developed for the system: shot segmentation, region segmentation, annotation, feature extraction, model learning, classification, and XML rendering. The performance of this system has been tested in the NIST TREC-2002 video concept detection benchmark. The proposed system performs best in the mean average precision out of 18 worldwide participants.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003