A video summarization method for basketball game

Authors:
Eui-Jin Kim;Gwang-Gook Lee;Cheolkon Jung;Sang-Kyun Kim;Ji-Yeun Kim;Whoi-Yul Kim
Affiliations:
Division of Electrical and Computer Engineering, Hanyang University, Seoul, Korea;Division of Electrical and Computer Engineering, Hanyang University, Seoul, Korea;Samsung Advanced Institute of Technology, Seoul, Korea;Samsung Advanced Institute of Technology, Seoul, Korea;Samsung Advanced Institute of Technology, Seoul, Korea;Division of Electrical and Computer Engineering, Hanyang University, Seoul, Korea
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2005

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Abstract

There have been various research efforts on automatic summarization of sports video. However, most previous works were based on event detection and thus cannot reflect the semantic importance of scenes and content of a game. In this paper, a summarization method for basketball video is presented. The proposed method keeps track of score changes of the game by reading the numbers on the score board. Analysis of the score variation yields a video summary that consists of semantically important and interesting scenes such as reversal or pursuit. Experimental results indicate that the proposed method can summarize basketball video with reasonable accuracy.