A Novel Shot Detection Algorithm Based on Clustering

摘要：

Shot boundary detection has attracted much more research interesting in recent years. This paper present a novel shot boundary detection algorithm based on K-means clustering. At first the feature of color is extracted, the dissimilarity of video frames is defined.Then the video frames are divided into several different sub-clusters through performing Kmeans clustering. It can detect cut and gradual shot by the adaptive double threshold of different subclusters. The efficiency of the proposed algorithm is extensively tested on movie, news and other videos. The experiments results indicate the method had a high accurate rate in both cut shot detection and gradual shot detection.

关键词： K-means clustering Shot detection HSV color space Adaptive double threshold

作者: Wenzhu Xu Lihong Xu

作者单位: School of Electronics and Information Engineering Tongji University, Shanghai, 200136, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 570-572

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）