New Approach to Multi-Modal Multi-View Video Coding  

作　　者：ZHANG Yun YU Mei JIANG Gangyi 

机构地区：[1]Institute of Computing Technology, Chinese Academic of Sciences, Beijing 100080, China [2]Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China [3]National Key Laboratory of Software New Technology, Nanjing University, Nanjing 210093, China [4]Graduate School of Chinese Academic of Sciences, Beijing 100080, China

出　　处：《Chinese Journal of Electronics》2009年第2期338-342,共5页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60672073, No.60872094, No.60832003）, the Program for New Century Excellent Talents in University （No.NCET-06-0537）.

摘　　要：The correlation characteristics of Multiview video （MVV） are influenced by the content of the video, illumination change, speed of moving objects and cameras, camera distance, frame rate, etc. In this paper, a framework of Multi-modal multi-view video coding （MMVC） is proposed on the basis of correlation analysis to achieve optimal performances among high compression efficiency, low complexity, low memory cost, view scalability and fast random access. Different prediction modes are designed to fit MVV with different correlations and meet different requirements of the Multi-view video coding （MVC）. An optimal prediction mode is adaptively selected from the candidate modes according to the correlation characteristics of MVV. Experimental results have proved that MMVC not only has best random accessibility, but also has outstanding performance in compression efficiency, low memory requirement, low complexity and view scalability. MMVC is regarded as the most efficient and balanced MVC scheme among the compared schemes.

关 键 词：Multi-view video coding Correlation analysis Multi-modal multi-view video encoder Random access View scalability. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN919.81[自动化与计算机技术—计算机科学与技术]