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.
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Kim, EJ., Lee, GG., Jung, C., Kim, SK., Kim, JY., Kim, WY. (2005). A Video Summarization Method for Basketball Game. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_67
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DOI: https://doi.org/10.1007/11581772_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30027-4
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