Detection of tennis court lines for sport video categorization
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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The quality achieved by simply scaling a sports video to the limited display resolution of a mobile device is often insufficient. As a consequence, small details like the ball or lines on the playing field become unrecognizable. In this paper, we present a novel approach to analyzing court-based ball sports videos. We have developed new techniques to distinguish actual playing frames, to detect players, and to track the ball. This information is used for advanced video retargeting, which emphasizes essential content in the adapted videos. We evaluate the precision and recall achieved in the analysis and measure the computational time taken. In addition, we compare our new approach to other video retargeting techniques based on scaling, cropping, and seam carving.