Zhang Qiuwen, Li Nana, Gan Yong
College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
ScientificWorldJournal. 2014;2014:392505. doi: 10.1155/2014/392505. Epub 2014 Aug 28.
High efficiency video coding- (HEVC-) based 3D video coding (3D-HEVC) developed by joint collaborative team on 3D video coding (JCT-3V) for multiview video and depth map is an extension of HEVC standard. In the test model of 3D-HEVC, variable coding unit (CU) size decision and disparity estimation (DE) are introduced to achieve the highest coding efficiency with the cost of very high computational complexity. In this paper, a fast mode decision algorithm based on variable size CU and DE is proposed to reduce 3D-HEVC computational complexity. The basic idea of the method is to utilize the correlations between depth map and motion activity in prediction mode where variable size CU and DE are needed, and only in these regions variable size CU and DE are enabled. Experimental results show that the proposed algorithm can save about 43% average computational complexity of 3D-HEVC while maintaining almost the same rate-distortion (RD) performance.
由3D视频编码联合协作团队（JCT-3V）开发的基于高效视频编码（HEVC）的3D视频编码（3D-HEVC）用于多视图视频和深度图，是HEVC标准的扩展。在3D-HEVC的测试模型中，引入了可变编码单元（CU）大小决策和视差估计（DE），以实现最高的编码效率，但代价是计算复杂度非常高。本文提出了一种基于可变大小CU和DE的快速模式决策算法，以降低3D-HEVC的计算复杂度。该方法的基本思想是利用深度图与预测模式中运动活动之间的相关性，在需要可变大小CU和DE的区域，仅在这些区域启用可变大小CU和DE。实验结果表明，该算法在保持几乎相同的率失真（RD）性能的同时，可节省3D-HEVC约43%的平均计算复杂度。
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