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.