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基于深度图的 3D 视频编码的率失真优化率控制。

Rate-distortion optimized rate control for depth map-based 3-D video coding.

机构信息

Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA.

出版信息

IEEE Trans Image Process. 2013 Feb;22(2):585-94. doi: 10.1109/TIP.2012.2219549. Epub 2012 Sep 20.

Abstract

In this paper, a novel rate control scheme with optimized bits allocation for the 3-D video coding is proposed. First, we investigate the R-D characteristics of the texture and depth map of the coded view, as well as the quality dependency between the virtual view and the coded view. Second, an optimal bit allocation scheme is developed to allocate target bits for both the texture and depth maps of different views. Meanwhile, a simplified model parameter estimation scheme is adopted to speed up the coding process. Finally, the experimental results on various 3-D video sequences demonstrate that the proposed algorithm achieves excellent R-D efficiency and bit rate accuracy compared to benchmark algorithms.

摘要

本文提出了一种用于 3D 视频编码的新颖的率控制方案,具有优化的比特分配。首先,我们研究了编码视图的纹理和深度图的 R-D 特性,以及虚拟视图和编码视图之间的质量依赖性。其次,开发了一种最优的比特分配方案,为不同视图的纹理和深度图分配目标比特。同时,采用简化的模型参数估计方案来加快编码过程。最后,在各种 3D 视频序列上的实验结果表明,与基准算法相比,所提出的算法实现了优异的 R-D 效率和比特率精度。

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