摘要
提出了一种新的M PEG压缩视频镜头切换检测算法。该方法通过分析切换点附近各帧的宏块类型特征,引入了一种新的“宏块类型匹配符”(M TM O),使用其在宏块级别上度量子图片组(SGOP)内部各帧之间的差异性,并结合一种自适应阈值选取技术,完成镜头切换检测。实验结果表明,所提算法适用于不同SGOP结构的M PEG视频序列,查全率达99%,准确率达95%。
A novel shot cut detection algorithm for MPEG coded videos is developed. The proposed method exploits the specific characteristics of the macroblock type information for adjacent frames when a shot cut occurs. A new macroblock type matching operator（MTMO） is introduced to estimate the dissimilarity of the consecutive frames of sub-group-of-picture（SGOP） in the macroblock level. An adaptive threshold selection scheme is used to identify the location of shot cuts. Experimental results on MPEG streams with different SGOP structures show that the proposed algorithm can detect shot cuts with 99% recall rate and 95% precision rate.
出处
《数据采集与处理》
CSCD
北大核心
2006年第2期163-167,共5页
Journal of Data Acquisition and Processing
