Video Shot Boundary Detection with Local Feature Post Refinement
Video shot boundary detection is a fundamental step for content base video analysis and has been widely studied in recent years.In this paper,a novel shot boundary detection algorithm is proposed.The algorithm uses feature space kernel smoothing to segment video into shots.The method is demonstrated to have high accuracy in both cuts and gradual transition detection.For flashlights and fast background change which cause the false detection,a post refinement strategy using local feature analysis is also studied in this paper.The effectiveness of the method is also verified by the experiments.
video analysis shot boundary detection mean shift local feature SIFT post refinement
Shouqun Liu Ming Zhu Quan Zheng
Department of Automation,University of Science and Technology of China Hefei,Anhui,230027,P.R.China
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26（万方平台首次上网日期，不代表论文的发表时间）