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Proceedings Paper

Sports video categorizing method using camera motion parameters
Author(s): Shinichi Takagi; Shinobu Hattori; Kazumasa Yokoyama; Akihisa Kodate; Hideyoshi Tominaga
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Paper Abstract

In this paper, we propose a content based video categorizing method for broadcasted sports videos using camera motion parameters. We define and introduce two new features in the proposed method; "Camera motion extraction ratio" and "Camera motion transition". Camera motion parameters in the video sequence contain very significant information for categorization of broadcasted sports video, because in most of sports video, camera motions are closely related to the actions taken in the sports, which are mostly based on a certain rule depending on types of sports. Based on the charactersitics, we design a sports video categorization algorithm for identifying 6 major different sports types. In our algorithm, the features automatically extracted from videos are analysed statistically. The experimental results show a clear tendency and the applicability of the proposed method for sports genre identification.

Paper Details

Date Published: 23 June 2003
PDF: 7 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502866
Show Author Affiliations
Shinichi Takagi, Waseda Univ. (Japan)
Shinobu Hattori, Waseda Univ. (Japan)
Kazumasa Yokoyama, Waseda Univ. (Japan)
Akihisa Kodate, Waseda Univ. (Japan)
Hideyoshi Tominaga, Waseda Univ. (Japan)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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