Rendering Distortion Estimation Model for 3D High Efficiency Depth Coding

A depth map represents three-dimensional (3D) scene geometry information and is used for depth image based rendering (DIBR) to synthesize arbitrary virtual views. Since the depth map is only used to synthesize virtual views and is not displayed directly, the depth map needs to be compressed in a cer...

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Veröffentlicht in:Mathematical problems in engineering Jg. 2014; H. 1
Hauptverfasser: Zhang, Qiuwen, Tian, Liang, Huang, Lixun, Wang, Xiaobing, Zhu, Haodong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Schlagworte:
Algorithms
Coding
Colleges & universities
Computational efficiency
Cost function
Distortion
Efficiency
Image coding
Mathematical models
Mathematical problems
Noise levels
Rendering
Sequences
Synthesis
Three dimensional
Three dimensional models
Video compression
Virtual reality
ISSN:1024-123X, 1563-5147
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Zusammenfassung:A depth map represents three-dimensional (3D) scene geometry information and is used for depth image based rendering (DIBR) to synthesize arbitrary virtual views. Since the depth map is only used to synthesize virtual views and is not displayed directly, the depth map needs to be compressed in a certain way that can minimize distortions in the rendered views. In this paper, a modified distortion estimation model is proposed based on view rendering distortion instead of depth map distortion itself and can be applied to the high efficiency video coding (HEVC) rate distortion cost function process for rendering view quality optimization. Experimental results on various 3D video sequences show that the proposed algorithm provides about 31% BD-rate savings in comparison with HEVC simulcast and 1.3 dB BD-PSNR coding gain for the rendered view.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2014/940737