DocumentCode :
2279555
Title :
Depth-based motion vector prediction in 3D video coding
Author :
Su, Wenyi ; Rusanovskyy, Dmytro ; Hannuksela, Miska M. ; Li, Houqiang
Author_Institution :
Univ. of Sci. & Technol. of China Hefei, Hefei, China
fYear :
2012
fDate :
7-9 May 2012
Firstpage :
37
Lastpage :
40
Abstract :
There are several data formats available for 3D video, among which is the Multiview Video plus Depth (MVD) representation that enables depth-image-based rendering (DIBR). In addition to DIBR, the MVD data format can enable more efficient compression for texture video coding. In this paper, we propose advanced motion vector prediction (MVP) techniques which utilize the availability of depth information in the MVD format for more efficient coding of the corresponding texture pictures. The proposed MVP was implemented on top of the Multiview Video Coding (MVC) extension of the Advanced Video Coding (H.264/AVC) standard and its reference software and tested under the simulation conditions of the Call for Proposals of 3D video coding technology issued by the Moving Picture Experts Group (MPEG). In the provided simulation results the proposed scheme significantly outperformed the conventional MVP (by up to 9.9% and on average by 7.5% in Bjontegaard delta bitrate) when it was applied for coding of 3-view MVD data.
Keywords :
image texture; rendering (computer graphics); standards; video coding; 3D video coding; Bjontegaard delta bitrate; H.264/AVC standard; MPEG; advanced motion vector prediction; advanced video coding; data formats; depth-based motion vector prediction; depth-image-based rendering; moving picture experts group; multiview video coding; multiview video plus depth; reference software; texture pictures; Bit rate; Encoding; PSNR; Three dimensional displays; Transform coding; Vectors; Video coding; 3DV; MVC; MVD; motion vector prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium (PCS), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4577-2047-5
Electronic_ISBN :
978-1-4577-2048-2
Type :
conf
DOI :
10.1109/PCS.2012.6213280
Filename :
6213280
Link To Document :
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