Video Shot Boundary Detection in MPEG Compressed Sequences Using SVM Learning

被引:1
作者
GUO Lihua YANG Shutang LIJianhua TONGZhipeng(School of Electronic and Information Technology
机构
关键词
video shot boundary detection; dissolve detection; MPEG compressed sequences; support vector machine(SVM);
D O I
暂无
中图分类号
TN919.8 [图像通信、多媒体通信];
学科分类号
0810 ; 081001 ;
摘要
A number of automated video shot boundary detection methods for indexing a videosequence to facilitate browsing and retrieval have been proposed in recent years.Among these methods,the dissolve shot boundary isn’t accurately detected because it involves the camera operation and objectmovement.In this paper,a method based on support vector machine (SVM) is proposed to detect thedissolve shot boundary in MPEG compressed sequence.The problem of detection between the dissolveshot boundary and other boundaries is considered as two-class classification in our method.Featuresfrom the compressed sequences are directly extracted without decoding them,and the optimal classboundary between two classes are learned from training data by using SVM.Experiments,whichcompare various classification methods,show that using proposed method encourages performance ofvideo shot boundary detection.
引用
收藏
页码:15 / 17 +28
页数:4
相关论文
共 3 条
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