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Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC

机译:3D-HEVC的低复杂度混合视图综合优化

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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.
机译:在本文中,我们针对高效率视频编码(3D-HEVC)的3D扩展提出了一种低复杂度的混合视图综合优化(HVSO)方案。特别地,基于对深度图压缩对合成视图渲染质量的影响的分析,我们将深度图的编码树单元(CTU)本地分为两类,包括基于合成视图失真变化(SVDC)和视图基于综合失真估计(VSDE)的CTU。这使我们能够动态地区分这些CTU的率失真优化过程,并以高效的方式获得基于VSDE的视图失真的综合视图失真。更具体地说,提出了一种新的基于插值的失真估计算法,专用于基于VSDE的CTU,从而可以成功避免实际的视图渲染过程。以这种方式,实现了深度图压缩中的速率失真性能和计算复杂度之间的良好折衷。实验结果表明,与现有的3D方案相比,采用我们提出的HVSO方法,视图合成优化过程平均可节省75%的计算复杂度,而BD率损失仅为1.6%。 HEVC平台。

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