Title :
A multi-view video coding based on correlation analysis
Author :
Yan, Tao ; Shao, Xiaobin ; Li, Guochao ; Deng, Changshou ; Dai, Jun
Author_Institution :
Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
Abstract :
Joint multi-view video model (JMVC(6.0)) proposed the fixed view-temporal prediction structure for the standardization multi-view video coding (MVC), which is difficult to cope with various characteristics with a fixed prediction structure. A multi-view coding scheme based on correlation analysis is proposed in this paper, which differs from the conventional MVC schemes with single inter-view prediction structure. Experimental results show that the proposed SMVC scheme can improve coding efficiency and random access. The simulation result shows that this proposed method improve random access by 56 % on average with PSNR increase 0. 13 dB on average.
Keywords :
correlation methods; prediction theory; video coding; JMVC(6.0); coding efficiency; correlation analysis; fixed prediction structure; fixed view-temporal prediction structure; inter-view prediction structure; joint multiview video model; multiview video coding; random access; Correlation; Encoding; Joints; PSNR; Periodic structures; Streaming media; Video coding; correlation analysis; multi-view video coding (MVC); random access;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777738
