DocumentCode
2835636
Title
A multi-level dynamic complexity reduction scheme for multiview video coding
Author
Zatt, Bruno ; Shafique, Muhammad ; Bampi, Sergio ; Henkel, Jörg
Author_Institution
Dept. of Embedded Syst., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
749
Lastpage
752
Abstract
In this paper, we propose a novel scheme for dynamically reducing the computational complexity of MVC. Our scheme exploits the coding mode correlation available in the 3D-neighborhood (i.e., spatial, temporal, and view) along with the rate-distortion proper- ties of the neighboring Macroblocks. Our scheme incorporates a multi-level mode decision process based on a mode-ranking mechanism that categorizes more-probable and less-probable coding modes. In order to react to the changing bitrates, our scheme deploys Quantization Parameter based threshold equations which are formulated using an offline statistical analysis. Compared to the exhaustive Rate-Distortion-Optimized Mode Decision (RDO-MD), our scheme achieves a complexity reduction of up to 80% (68% on average) with an average PSNR loss of 0.075 dB. Compared to state-of-the-art fast RDO-MD, our scheme achieves a complexity reduction of up to 34% with an average PSNR gain of 0.007 dB.
Keywords
computational complexity; correlation methods; quantisation (signal); rate distortion theory; statistical analysis; video coding; MVC; PSNR; coding mode correlation; computational complexity reduction; less-probable coding modes; macroblocks; mode-ranking mechanism; more-probable coding modes; multilevel dynamic complexity reduction scheme; multilevel mode decision process; multiview video coding; offline statistical analysis; quantization parameter based threshold equations; rate distortion properties; Bit rate; Complexity theory; Correlation; Encoding; Image coding; Probability density function; Video coding; Complexity Reduction; Fast Mode Decision; MVC; Multiview Video coding; Video Coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6116663
Filename
6116663
Link To Document