Key Frame Extraction Algorithm Based on Information Theory

摘要：

Key frames play a very important role in video indexing and retrieval. In this paper, we propose a novel method to extract key frames based on information theory. We use improved Bayesian Information Criterion to determining the number of key frames, and then automatically extract key frames to represent video shot based on information bottleneck cluster method. Experimental results and the comparisons with other methods on various types of video sequences show the effectiveness of the proposed method.

关键词： Key Frame Bayesian Information Criterion Information Bottleneck Video Shot.

作者: Yongliang Xiao Shaoping Zhu

作者单位: Department of Information Management Hunan College of Finance and Economics Changsha,China

会议类型: 国际会议

会议名称: 2010 International Conference on Material and Manufacturing Technology(2010材料与制造技术国际会议 ICMMT2010)

会议地点: 重庆

会议语种:英文

页码: 95-98

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）