AVS监控档视频的压缩域摘要研究  

Compressed Domain Synopsis Research in AVS Surveillance Profile

作　　者：赵磊[1] 黄华[1] 

机构地区：[1]北京理工大学计算机学院,北京100081

出　　处：《计算机科学》2016年第7期46-50,共5页Computer Science

基　　金：国家自然科学基金重点项目(61133008)资助

摘　　要：传统的像素域视频摘要方法需要完全解码视频,计算时间长。因此提出了一种在不解码的前提下直接在压缩域生成AVS格式摘要视频的算法。首先对AVS码流中的运动向量(MV)进行分析,提取前景运动宏块;然后跟踪前景宏块,得到有效的运动目标轨迹;最后提取AVS监控档视频中的背景帧,并将它与运动目标轨迹相结合,生成摘要视频。实验表明,该算法能够在压缩域下有效地生成摘要视频,相比于传统方法具有更快的处理速度。The traditional methods of video synopsis need completely decoding video in pixel domain which costs too much time. Without decoding, a video synopsis algorithm was proposed for AVS surveillance video in compressed domain. To do so, this algorithm first analyzes the motion vector in AVS bit stream to extract foreground motion macroblocks. Then the valid moving object trajectories are obatained through tracking the foreground macroblocks. At last, the trajectories are recombined with the background frame, which is extracted from the source surveillance video, to gene-rate video synopsis. Comparing with the algorithm in pixel domain, experiments prove that this algorithm achieves similar effect but faster processing speed.

关 键 词：监控视频摘要 压缩域 AVS 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]