An Effective Video Shot Boundary Detection Method Based on the Local Color Features of Interest Points
Video shot boundary detection is an important early stage of video analysis. In this paper, a new method for shot boundary detection using local color features (LCF) is presented. Firstly, interest points are detected for each frame. Then, local images are obtained based on the interest points. Finally, shot boundaries are detected based on the histogram difference of local images. LCF can overcome the deficiency of traditional histogram-based method that different contents frames have similar histograms, and can distinguish between gradual changes and camera motions effectively. Experimental results successfully validate the new method and show that it can effectively detect both abrupt transitions and gradual transitions.
shot boundary detection histogram difference local image interest points
Xiang Fu Jie-xian Zeng
School of Computing, Nanchang Hangkong University, Nanchane.Jianexi.China School of Computing, Key Laboratory of Nondestructive Test, Nanchang Hangkong University, Nanchang,
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
681-684
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）