基于交互信息量和联合熵的镜头检测算法  

A Mutual Information and Joint Entropy Based Method for Shot Change Detection

作　　者：施游[1] 黄少年[2] 张友生[1] 

机构地区：[1]湖南师范大学,长沙410006 [2]中南大学信息科学与工程学院,长沙410006

出　　处：《计算机工程与应用》2006年第30期54-56,共3页Computer Engineering and Applications

基　　金：湖南省自然科学基金资助项目(编号:03JJY6022)

摘　　要：镜头检测在视频检索中起着关键作用。文章提出了一种基于信息论的镜头检测方法,该方法使用相邻帧间的交互信息量检测突变,使用相邻帧间的联合熵检测淡入/淡出镜头。试验表明:该方法简单、有效,且识别的准确率较高。Shot detection is the most important issuse in the field of video retrieval.A shot detection method based on information theory is proposed.Mutual information of the neighbored frame is computed for cut change dectection.Joint entropy of neighbored frame is computed for detection fade in/fade out.The experiment shows that the approach is convenient and efficient ,especially with high reliability.

关 键 词：镜头检测 熵 交互信息量 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]