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Edge-Based Intramode Selection for Depth-Map Coding in 3D-HEVC

机译:基于边缘的帧内模式选择,用于3D-HEVC中的深度图编码

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摘要

The 3D video extension of High Efficiency Video Coding (3D-HEVC) is the state-of-the-art video coding standard for the compression of the multiview video plus depth format. In the 3D-HEVC design, new depth-modeling modes (DMMs) are utilized together with the existing intraprediction modes for depth intracoding. The DMMs can provide more accurate prediction signals and thereby achieve better compression efficiency. However, testing the DMMs in the intramode decision process causes a drastic increase in the computational complexity. In this paper, we propose a fast mode decision algorithm for depth intracoding. The proposed algorithm first performs a simple edge classification in the Hadamard transform domain. Then, based on the edge classification results, the proposed algorithm selectively omits unnecessary DMMs in the mode decision process. Experimental results demonstrate that the proposed algorithm speeds up the mode decision process by up to 37.65% with negligible loss of coding efficiency.
机译:高效视频编码(3D-HEVC)的3D视频扩展是用于压缩多视图视频加深度格式的最新视频编码标准。在3D-HEVC设计中,新的深度建模模式(DMM)与现有的帧内预测模式一起用于深度帧内编码。 DMM可以提供更准确的预测信号,从而获得更好的压缩效率。但是,在帧内模式决策过程中测试DMM会导致计算复杂性急剧增加。在本文中,我们提出了一种用于深度帧内编码的快速模式决策算法。所提出的算法首先在Hadamard变换域中执行简单的边缘分类。然后,基于边缘分类结果,该算法在模式决策过程中选择性地省略了不必要的DMM。实验结果表明,该算法将模式决策过程加快了37.65%,编码效率的损失可忽略不计。

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