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Joint video/depth rate allocation for 3D video coding based on view synthesis distortion model

机译:基于视图合成失真模型的3D视频编码联合视频/深度速率分配

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摘要

Joint video/depth rate allocation is an important optimization problem in 3D video coding. To address this problem, this paper proposes a distortion model to evaluate the synthesized view without access to the captured original view. The proposed distortion model is an additive model that accounts for the video-coding-induced distortion and the depth-quantization-induced distortion, as well as the inherent geometry distortion. Depth-quantization-induced distortion not only considers the warping error distortion, which is described by a piecewise linear model with the video power spectral property, but also takes into account the warping error correlation distortion between two sources reference views. Geometry distortion is approximated from that of the adjacent view synthesis. Based on the proposed distortion model, a joint rate allocation method is proposed to seek the optimal trade-off between video bit-rate and depth bit-rate for maximizing the view synthesis quality. Experimental results show that the proposed distortion model is capable of approximately estimating the actual distortion for the synthesized view, and that the proposed rate allocation method can almost achieve the identical rate allocation performance as the full-search method at less computational cost. Moreover, the proposed rate allocation method consumes less computational cost than the hierarchical-search method at high bit-rates while providing almost the equivalent rate allocation performance.
机译:联合视频/深度速率分配是3D视频编码中的重要优化问题。为了解决这个问题,本文提出了一种失真模型来评估合成视图,而无需访问捕获的原始视图。所提出的失真模型是一个加法模型,考虑了视频编码引起的失真和深度量化引起的失真以及固有的几何形状失真。深度量化引起的失真不仅考虑翘曲误差失真(由具有视频功率频谱特性的分段线性模型描述),而且还考虑了两个源参考视图之间的翘曲误差相关失真。几何变形是从相邻视图合成中近似得出的。基于提出的失真模型,提出了一种联合速率分配方法,以寻求视频比特率和深度比特率之间的最佳折衷,以最大化视图合成质量。实验结果表明,所提出的失真模型能够近似估计合成视图的实际失真,并且所提出的速率分配方法几乎可以以较低的计算成本实现与全搜索方法相同的速率分配性能。而且,所提出的速率分配方法在高比特率下比分层搜索方法消耗更少的计算成本,同时提供几乎等效的速率分配性能。

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