An adaptive quantization algorithm without side information for depth map coding |
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| Affiliation: | 1. College of Computer Science, Chongqing University, Chongqing 400044, China;2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China;1. School of Computer Science and Technology, Xidian University, Xi׳an, China;2. School of Telecommunication Engineering, Xidian University, Xi׳an, China;1. Graduate School at Shenzhen, Tsinghua University, Shenzhen, China;2. Department of Computer Science, Harbin Institute of Technology, Harbin, China;3. TNLIST and Department of Automation, Tsinghua University, Beijing, China;1. Laboratoire Bordelais de Recherche en Informatique, Université Bordeaux, 33405 Talence, France;2. Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés 28911, Madrid, Spain |
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| Abstract: | This paper presents a novel block-adaptive quantization scheme for efficient bit allocation without side information in depth map coding. Since the type of distortion in a depth map causes different effects in terms of the visual artifacts in a synthesized view, the proposed method adaptively assigns the number of bits according to the characteristics of the corresponding texture block. I have studied the details of the depth map and its rendered view distortion, modeled these analytically, and then proposed a new rate and distortion model for depth map coding. Finally, I derived a simple closed-form solution based on my proposed rate and distortion model, which determines the block-adaptive quantization parameter without any side information. Experimental results show that the proposed scheme can achieve coding gains of more than 0.6% and 1.4% for quarter- and full-resolution depth maps, respectively, in a multi-view-plus-depth 3D system. |
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| Keywords: | Depth map coding Compression 3D video Multiview plus depth map Quantization parameter Rate-distortion model |
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