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Proceedings Paper

Content-based analysis and indexing of sports video
Author(s): Ming Luo; Xuesheng Bai; Guang-you Xu
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Paper Abstract

An explosion of on-line image and video data in digital form is already well underway. With the exponential rise in interactive information exploration and dissemination through the World-Wide Web, the major inhibitors of rapid access to on-line video data are the management of capture and storage, and content-based intelligent search and indexing techniques. This paper proposes an approach for content-based analysis and event-based indexing of sports video. It includes a novel method to organize shots - classifying shots as close shots and far shots, an original idea of blur extent-based event detection, and an innovative local mutation-based algorithm for caption detection and retrieval. Results on extensive real TV programs demonstrate the applicability of our approach.

Paper Details

Date Published: 19 December 2001
PDF: 9 pages
Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451094
Show Author Affiliations
Ming Luo, Tsinghua Univ. (United States)
Xuesheng Bai, Tsinghua Univ. (China)
Guang-you Xu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 4676:
Storage and Retrieval for Media Databases 2002
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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