基于块特征的H.264压缩域对象分割  

Block Characteristic Based Object Segmentation in H.264 Compressed Domain

作　　者：王俊[1] 王沛[1] 武智霞[1] 王敬[1] 

机构地区：[1]上海师范大学信息与机电工程学院,上海200234

出　　处：《电视技术》2011年第9期13-15,19,共4页Video Engineering

基　　金：国家自然科学基金项目(60971004);上海师范大学项目(SK201127)

摘　　要：针对H.264压缩域,提出一种改进的运动对象分割方法。首先提取运动矢量场,对该矢量场进行矢量中值滤波,然后基于块进行前向矢量累积获得更加显著的矢量场,最后采用改进的K均值和EM的混合分层聚类方法,基于宏块层、块层两次聚类将运动对象分割出来。实验表明,该方法通过分层聚类,进一步提高了分割效率,能实现满足实时要求的较精确分割。An improved moving object segmentation approach which extracts motion field from H.264 compressed domain is proposed. Pre-treatments such as vector median filtering and forward block vector accumulation are used to obtain more obvious motion field. Then mix and hierarchical clustering algorithm based on improved k-means and EM is exploited to segment the moving object on the macro-block level and on the block level. Experimental results demonstrate that this approach further improves the efficiency of the segmentation by hierarchical clustering. It provides satisfactory real-time segmentation results and good segmentation quality.

关 键 词：H.264 运动对象分割 压缩域 块特征 分层聚类 

分 类 号：TN919.81[电子电信—通信与信息系统]