A Novel Shot Boundary Detection Based on Information Theory using SVM

摘要：

Shot boundary detection is the preliminary step for efficient video indexing and retrieval. To overcome the shortage of traditional threshold based method in shot detection, we proposed a novel cut detection method based on information theory using SVM. We first compute the dissimilarity using information theory and construct a discriminative feature vector based on mutual information. Then a support vector machine is trained to classify the frames as cut or none-cut frames. Experiment results demonstrate our proposed method is effective and outperforms stateof-art methods.

关键词： shot boundary detecion mutual information information theory SVM

作者: Jialei Bi Xianglong Liu Bo Lang

作者单位: State Key Laboratory of Software Development Environment BeiHang University Beijing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 522-526

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）