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发表刊物：6th International Conference on Intelligent Systems Design and Applications (ISDA 2006)6th International Conference on Intelligent Systems Design and Applications (ISDA 2006)

摘要：A hidden Markov model (HMM) is employed in this paper to model the structure, and thus generate highlights, of table tennis games. Unlike existing approaches, we use only one HMM for the table tennis games, which combines domain knowledge during initialization, and can be easily adapted to new games through a training phase. Both the homogeneity and heterogeneity are taken into account during this modeling. With this HMM embedded, a multi-level audio content-based highlight detection system, incorporating four audio keywords that are created according to time and frequency domain low-level audio features, is proposed to perform highlight detection in table tennis games. Encouraging results are obtained in the experiments carried out on six table tennis matches.

合写作者：Dou, Weibei, Chen, Liming,Ren, Y, Chen, YP, Ruan, S, Bloyet, D, Constans, JM

第一作者：Zhang, Bin,Dou, WB, Ren, Y, Chen, YP, Ruan, S, Bloyet, D, Constans, JM

论文类型：会议论文

页面范围：798-803

是否译文：否

发表时间：2006-10-16