3D-HEVC低复杂度混合视图合成优化

Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao
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摘要

本文提出了一种低复杂度的混合视图合成优化(HVSO)方案,用于高效视频编码(3D- hevc)的三维扩展。在分析深度图压缩对合成视图渲染质量影响的基础上,将深度图的编码树单元局部划分为基于合成视图失真变化(SVDC)的编码树单元和基于视图合成失真估计(VSDE)的编码树单元。这使得我们可以动态区分这些ccu的率畸变优化过程,并以高效率的方式获得基于VSDE的ccu的综合视图畸变。更具体地说,提出了一种新的基于插值的失真估计算法,专门用于基于VSDE的ctu,从而成功地避免了实际的视图渲染过程。这种方法在深度图压缩的率失真性能和计算复杂度之间取得了很好的平衡。实验结果表明,与3D-HEVC平台上的现有方案相比,本文提出的HVSO方法在视图综合优化过程中平均节省了75%的计算复杂度,仅损失1.6%的BD-rate。
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Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC
In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.
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