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; motion extraction ratio and 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 SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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