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An Efficient Fast Mode Decision Method for Inter Prediction in HEVC

机译:HEVC中帧间预测的高效快速模式决策方法

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摘要

The emerging High Efficiency Video Coding (HEVC) standard adopts many advanced techniques with flexible combinations, which enables HEVC to achieve about 50% bit-rate reduction for similar perceptual video quality relative to the prior video coding standard H.264/Advanced Video Coding. However, the enormously increased encoding complexity of HEVC inevitably becomes one of the greatest challenges for real-time applications. Among all the factors resulting in the increase in encoding complexity of HEVC, the quad-tree structure for coding units (CUs) with different sizes and accordingly a large number of prediction modes is one critical reason. Thus, it is greatly desired to develop a fast mode decision method for HEVC to reduce the computational complexity. In this paper, considering that HEVC employs the quad-tree structure, and the distortion of each sub-CU can indicate whether the current mode is suitable for current CU, we explore the relationship between the impossible modes and the distribution of the distortions to help the encoder skip checking the unnecessary modes. Besides, since the residual values can reflect the prediction result directly, we propose a method to skip some motion estimation operations according to the distribution of the residuals. Experimental results show that the proposed method can save about 77% of encoding time with only about a 4.1% bit-rate increase compared with HM16.4 anchor, while compared with the fast mode decision method adopted in HM16.4, the proposed algorithm can save about 48% of encoding time with only about a 2.9% bit-rate increase.
机译:新兴的高效视频编码(HEVC)标准采用了许多具有灵活组合的高级技术,相对于以前的视频编码标准H.264 / Advanced Video Coding,HEVC可以将类似的感知视频质量的比特率降低约50%。但是,HEVC编码复杂度的极大提高不可避免地成为实时应用程序的最大挑战之一。在导致HEVC的编码复杂度增加的所有因素中,用于具有不同大小并因此具有大量预测模式的编码单元(CU)的四叉树结构是关键原因之一。因此,迫切需要开发一种用于HEVC的快速模式决策方法以降低计算复杂度。在本文中,考虑到HEVC采用四叉树结构,并且每个子CU的失真可以指示当前模式是否适合当前CU,我们探索不可能模式与失真分布之间的关系,以帮助编码器跳过检查不必要的模式。此外,由于残差值可以直接反映预测结果,因此提出了一种根据残差的分布跳过一些运动估计操作的方法。实验结果表明,与HM16.4锚相比,该方法可节省约77%的编码时间,而比特率仅提高4.1%,而与HM16.4中采用的快速模式决策方法相比,该算法可以仅增加2.9%的比特率,即可节省约48%的编码时间。

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