基于相关性分析的多模式多视点视频编码  

Multi-Modal Multi-View Video Coding Based on Correlation Analysis

作　　者：蒋刚毅[1] 张云[1] 郁梅[1] 

机构地区：[1]宁波大学信息科学与工程学院

出　　处：《计算机学报》2007年第12期2205-2211,共7页Chinese Journal of Computers

基　　金：国家自然科学基金(60472100;60672073);教育部新世纪人才支持(NCET-06-0537);教育部科学技术研究重点项目(2060059);浙江省自然科学基金(Y105577)资助~~

摘　　要：多视点视频编码方法除需具有较高编码效率外,还必须支持视点或时间的随机访问、低延时编解码、视点可分级等性能.多视点视频信号的时间、视点间相关性随相机密度、光照、对象运动等因素不同而变化.文中提出基于多视点视频信号相关性分析的多模式多视点视频编码方法,改变传统单一预测模式的多视点编码结构,将多种性能优良的预测编码模式有机结合,根据多视点视频相关性分析灵活选择合适的预测编码模式,以获得优异的编码综合性能.实验结果表明,所提出的多模式多视点视频编码方法在保证高压缩效率的前提下,可进一步降低复杂度,提高随机访问性能.Multi-view video coding（MVC） should support view random access, temporal random access, spatial random access, low coding delay, view scalability, as well as high compression efficiency and low complexity. The correlation characteristics of the multi-view video signal is variant along the time axis, and it is influenced by video contents, illumination change, speed of moving objects and cameras, view interval, sampling frequency, and other factors. A multi-modal multi-view video coding （MMVC） scheme based on correlation analysis is proposed in this paper, which differs from the conventional MVC schemes with single prediction mode. Several MVC prediction structures with excellent performances have been properly integrated into the scheme, and are dynamically selected to encode current multi-view video according to correlation characteristics of the video. Experimental results show that the proposed MMVC scheme can reduce computational complexity and improve random access performance while maintaining high coding efficiency.

关 键 词：多视点视频编码 多模式 随机访问 计算复杂度 相关性分析 模式更新 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]