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A novel distortion criterion of rate-distortion optimization for depth map coding

机译：深度图编码率失真优化的新失真准则

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摘要

In 3D video coding systems, depth maps are not displayed to the viewers, but provide the geometric information to generate virtual views. To ensure the quality of virtual views, the rate-distortion optimization (RDO) in depth map coding adopts the virtual view distortion as the distortion item. The virtual view distortion comes from the reconstructed color video distortion and depth distortion. It is usually recognized that the virtual view distortion caused by reconstructed color video distortion is independent of that in depth map coding. Preliminary experiments reveal that the virtual view distortion in depth map coding is also influenced by the reconstructed color video distortion. Therefore, we proposed a novel distortion criterion of depth map coding in which the reconstructed color video distortion is modeled and joins into the virtual view distortion calculation. Correspondingly, the associated Lagrange multiplier is also proposed. Experimental results demonstrate that the method by integrating the proposed distortion criterion into RDO for depth map coding can achieve an average 12.72% bitrate saving compared with SSD based RDO method and can also lead a bitrate reduction (0.64%) compared with the existing distortion estimation method in the current 3D-HEVC reference software. With the associated Lagrange multiplier, the proposed distortion criterion can achieve 12.98% bitrate saving compared with SSD based RDO method on average.
机译：在3D视频编码系统中，深度图不显示给观看者，而是提供几何信息以生成虚拟视图。为了保证虚拟视图的质量，深度图编码中的速率失真优化（RDO）采用了虚拟视图失真作为失真项。虚拟视图失真来自重构的彩色视频失真和深度失真。通常认识到，由重构的彩色视频失真引起的虚拟视图失真与深度图编码中的虚拟视图失真无关。初步实验表明，深度图编码中的虚拟视图失真也受重建的彩色视频失真的影响。因此，我们提出了一种新的深度图编码失真准则，其中对重构的彩色视频失真进行建模并加入虚拟视图失真计算中。相应地，还提出了关联的拉格朗日乘数。实验结果表明，与基于SSD的RDO方法相比，将拟议的失真准则集成到RDO中进行深度图编码的方法与基于SSD的RDO方法相比，可以平均节省12.72％的比特率，并且与现有的失真估计方法相比，还可以减少比特率（0.64％）在当前的3D-HEVC参考软件中。与基于SSD的RDO方法相比，与相关的Lagrange乘法器相比，所提出的失真准则可以节省12.98％的比特率。

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