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Low Complexity Adaptive View Synthesis Optimization in HEVC Based 3D Video Coding

delete2014-01-01
delete36
PRE
AI
马
马思伟 (Siwei Ma) *
S
Shiqi Wang
W
Wen Gao
DOI:10.1109/TMM.2013.2284751delete
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摘要

摘要

En 中文
In this correspondence, we explore a low-complexity adaptive view synthesis optimization (VSO) scheme in the upcoming high-efficiency video coding (HEVC)-based 3-D video coding standard. We first devise a novel zero-synthesized view difference (ZSVD) model which jointly accounts for the distortion of the synthesized view induced by the compound impact of depth-disparity mapping, texture adaptation, and occlusion in the view synthesis process. This model can efficiently estimate the maximum allowable depth distortion in synthesizing a virtual view without introducing any geometry distortion. Then, an adaptive ZSVD-aware VSO scheme is proposed by incorporating the ZSVD model into the rate-distortion optimization process, which is developed by pruning the conventional view synthesis algorithm. Extensive experimental results confirm that the proposed model is capable of accurately predicting the zero distortion of the synthesized view and exhibit that the proposed ZSVD-aware VSO scheme can remarkably reduce the coding computational complexity with negligible performance loss.
Keyword:
3D video coding
computational complexity
view synthesis optimization
zero synthesized view difference
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期刊

IEEE Transactions on Multimedia 封面图
IEEE Transactions on Multimedia
IF:
9.7
论文数:
4.5K
被引数:
2.4W

机构

P
peking university
学者数:
11.9W
论文数: 8.7W
被引数: 146
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