Multi-View Video Coding Based on View Prediction
Multiple view video coding (MVC) is key technology that serves a wide variety of applications, including FTV (free-viewpoint television), 3DTV (Three Dimensional television) and surveillance. Multi-view video consists of multiple views of the same scene in which there is a high degree of correlation between inter views and intra views. In this paper, a multi-view video coding method based on a new view prediction structure is proposed which makes full use of the spatial redundancy in addition to exploiting the temporal redundancy by performing spatial prediction across different views. A multi-reference disparity prediction method based on variable size block matching is used to get better disparity compensation effect in the proposed structure. Besides, by omitting transmission some B frames, the coding bit-rate is further reduced. Experimental results show that compared to general GoGOP algorithm, the proposed multi-reference prediction algorithm can reconstruct the target images with higher quality, and the MVC scheme based on the new view prediction structure can obtain a coding gain with about 1.4 dB.
Ping An Qiuyan Guo Tao Mi li Zhou Zhaoyang Zhang
School of Communication and Information Engineering, Shanghai University, China Key Laboratory of Ad School of Communication and Information Engineering, Shanghai University, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
1481-1485
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）