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DOI码：10.1109/ICALIP.2010.5685186

发表刊物：2010 International Conference on Audio, Language and Image Processing (ICALIP)

摘要：This paper presents an audio keywords detection method for highlight retrieval in basketball video. The keywords contain shoes squeaking sound, speech, cheer, long whistle and short whistle, which correspond to basketball game events. After feature analysis, the Simple Excellent Feature Combination based on Pearson Correlation Coefficient (SEFC-PCC) is used to select efficient features, which contributes to a preferable performance and lower computational complexity. A novel multi-stage SVM classifier is proposed to do the final detection of the five audio keywords. There are 428 audio sequences about 704 seconds used in the validation experiment; it gives a performance evaluation with average detection accuracy of 92%~99%.

合写作者：Weibei Dou,Dellandrea, Emmanuel, Dou, Weibei, Chen, Liming

第一作者：Chunyan Zeng,Xiao, Zhongzhe, Dellandrea, Emmanuel, Dou, Weibei, Chen, Liming

论文类型：会议论文

通讯作者：Weibei Dou

页面范围：1765-1750

是否译文：否

发表时间：2010-11-23