DocumentCode :
2815539
Title :
Efficient rendering distortion estimation for depth map compression
Author :
Zhang, Qiuwen ; An, Ping ; Zhang, Yan ; Zhang, Zhaoyang
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
1105
Lastpage :
1108
Abstract :
A depth map represents three-dimensional (3D) scene information and is used to synthesize virtual views in 3D video. Since the quality of synthesized virtual views highly depends on the quality of depth map, efficient depth compression is crucial to realize the 3D video system. However compressing depth map using existing video coding techniques yields unacceptable distortions while rendering virtual views. To solve this problem, we propose an efficient depth map compression method for the view rendering, a novel distortion metric base on view rendering distortions instead of distortion of depth map itself. First, we derive relationships between distortions in coded depth map and rendered view. Then, a region based video characteristics distortion model is proposed for precisely estimation distortion in view synthesis. Finally, experimental results have shown that 1.8 dB coding gain in terms of PSNR and subjective quality improvement of synthesized views are achieved by the proposed method.
Keywords :
data compression; image representation; rendering (computer graphics); three-dimensional television; video coding; 3D scene information; 3D scene representations; 3D television; 3D video system; PSNR; depth map compression; depth map distortion; distortion metric base; free viewpoint television; rendering distortion estimation; subjective quality improvement; video coding techniques; view rendering distortions; virtual view synthesis; Cameras; Encoding; Estimation; Geometry; Image coding; Rendering (computer graphics); Three dimensional displays; 3D video; DIBR; Depth compression; distortion estimation; view rendering;
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.2011.6115620
Filename :
6115620
Link To Document :
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