Paper
23 June 2003 Sports video categorizing method using camera motion parameters
Shinichi Takagi, Shinobu Hattori, Kazumasa Yokoyama, Akihisa Kodate, Hideyoshi Tominaga
Author Affiliations +
Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502866
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shinichi Takagi, Shinobu Hattori, Kazumasa Yokoyama, Akihisa Kodate, and Hideyoshi Tominaga "Sports video categorizing method using camera motion parameters", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502866
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Cited by 14 scholarly publications.
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KEYWORDS
Cameras

Video

Statistical analysis

Motion analysis

Feature extraction

Zoom lenses

Analytical research

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