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一种基于背景建模的监控视频快速性能保持转码方法

A Fast and Performance-Maintained Transcoding Method based on Background Modeling for Surveillance Video
课程网址: http://videolectures.net/icme2012_zhang_transcoding/  
主讲教师: Xianguo Zhang
开课单位: 北京大学
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
低复杂度、高性能的监控视频转码方法在广泛的监控视频传输和存储应用中发挥着重要作用。为此，应利用监控视频的特殊特性进行转码。本文提出了一种快速、性能稳定的转码方法。该方法首先将宏块划分为前景mbs、前景边框mbs和背景mbs。统计分析表明，这三类模型在预测模式、运动矢量和参考帧上的分布是不同的。在此基础上，在消除冗余预测模式、缩小运动搜索范围、减少参考帧等方面采用了不同的转码策略。特别地，我们提出了一种利用解码后的运动矢量自适应计算运动搜索范围的算法。实验结果表明，与目前基于背景建模的全解码全编码相比，我们的转码方法节省了93%以上的时间，且质量损失不可忽略。
课程简介: Low-complexity and high-performance surveillance video transcoding methods play an important role for a wide range of surveillance video transmission and storage applications. Towards this end, the special characteristics of surveillance video should be utilized for transcoding. In this paper, we propose a fast and performance-maintained transcoding method. This method firstly divides macroblocks (MBs) into foreground MBs, foreground border MBs and background MBs. Statistics show that the three categories have different distributions of prediction modes, motion vectors and reference frames. Following this, we adopt different transcoding strategies in terms of removing the redundant prediction modes, narrowing motion search range and reducing reference frames. In particular, we propose an algorithm to exploit the decoded motion vector to adaptively calculate motion search range. Experimental results show that, compared with the recent background modeling based fulldecoding- full-encoding, our transcoding method saves more than 93% time with ignorable quality loss.
关 键 词: 监控视频; 预测模式; 运动矢量
课程来源: 视频讲座网
最后编审: 2019-12-01：cwx
阅读次数: 41

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