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

fYear

2011

fDate

15-17 April 2011

Firstpage

3872

Lastpage

3875

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777738

Filename

5777738