Abstract：Improving the precision of shot boundary detection is very important.This paper presents an algorithm for shot boundary detection based on SVM(support vector machine)in compressed domain.It uses the features,such as the type of macroblock,the difference between DC coefficients of two co-located blocks in successive frames and the type of frame,to segment a video into the shots by classifying the frames into three classes,namely,the frames of cut change,gradual change and non-change.No thresholds,which are often hard to select in most shot detection methods,are involved in our algorithm.Experiments have shown that our algorithm is robust for motion of camera and large objects in video,and the experimental result of our algorithm on TREC-2001 video data set is 8% higher than the best result of 2001 TREC evaluation in F1 comparison when cut and gradual changes are both considered.
曹建荣;蔡安妮. 压缩域中基于支持向量机的镜头边界检测算法[J]. 电子学报, 2008, 36(1): 203-208.
CAO Jian-rong;CAI An-ni. Algorithm for Shot Boundary Detection Based on Support Vector Machine in Compressed Domain. Chinese Journal of Electronics, 2008, 36(1): 203-208.
2008, Vol. 36 
