Model-Based Joint Bit Allocation Between Texture Videos and Depth Maps for 3-D Video Coding
Model-Based Joint Bit Allocation Between Texture Videos and Depth Maps for 3-D Video Coding
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DOI：
10.1109/tcsvt.2011.2125610
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发表时间：
2011-04
影响因子：
8.4
通讯作者：
Hui Yuan;Yilin Chang;Junyan Huo;Fuzheng Yang;Zhaoyang Lu
中科院分区：
文献类型：
--
作者：
Hui Yuan;Yilin Chang;Junyan Huo;Fuzheng Yang;Zhaoyang Lu
在3D视频编码中，纹理视频和深度图需要被联合编码。纹理视频和深度图的失真可以传播到合成的虚拟视图。除了纹理视频和深度图的编码效率外，纹理视频和深度图之间的联合比特分配也是三维视频编码中的一个重要研究课题。首先，我们提出了全面的分析纹理视频和深度图的压缩失真对虚拟视图的质量的影响，然后推导出一个简洁的失真模型合成的虚拟视图。在此基础上，将联合比特分配问题转化为约束优化问题，并采用拉格朗日乘子法进行求解。实验结果表明，所推导的失真模型具有较高的精度。同时，该算法的率失真（R-D）性能接近于基于搜索的算法，而复杂度低于基于搜索的算法。此外，与采用固定纹理和深度比特比（5：1）的比特分配方法相比，该算法可以获得最大1.2dB的增益。
In 3-D video coding, texture videos and depth maps need to be jointly coded. The distortion of texture videos and depth maps can be propagated to the synthesized virtual views. Besides coding efficiency of texture videos and depth maps, joint bit allocation between texture videos and depth maps is also an important research issue in 3-D video coding. First, we present comprehensive analyses on the impacts of the compression distortion of texture videos and depth maps on the quality of the virtual views, and then derive a concise distortion model for the synthesized virtual views. Based on this model, the joint bit allocation problem is formulated as a constrained optimization problem, and is solved by using the Lagrangian multiplier method. Experimental results demonstrate the high accuracy of the derived distortion model. Meanwhile, the rate-distortion (R-D) performance of the proposed algorithm is close to those of search-based algorithms which can give the best R-D performance, while the complexity of the proposed algorithm is lower than that of search-based algorithms. Moreover, compared with the bit allocation method using fixed texture and depth bits ratio (5:1), a maximum 1.2 dB gain can be achieved by the proposed algorithm.