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Fast CU size decision and PU mode decision algorithm for quality SHVC inter coding

机译:用于高质量SHVC帧间编码的快速CU大小决策和PU模式决策算法

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摘要

As a scalable extension of the High Efficiency Video Coding (HEVC), the Scalable High Efficiency Video Coding (SHVC) encoder needs to encode multiple HEVC layers with Inter-layer predictions, which causes the significant increase in coding complexity. In this paper, we proposed a novel Inter prediction scheme to effectively reduce computational complexity in Quality SHVC. The new features of the proposed algorithm include: First, spatial and Inter-layer depth correlations are used to predict the most possible coding unit (CU) depth level candidates. Second, a statistical test method on the current CU depth level is introduced to examine whether the residual coefficients within its block present similar distribution to terminate depth selection early. Finally, during Inter prediction selection from 8 Prediction Unit (PU) sizes, spatial and Inter-layer correlations are combined with residual coefficients distribution to determine the PU partitioning mode is Symmetric Motion Partitioning (SMP) or Asymmetric Motion Partitioning (AMP). Experimental results demonstrate that the proposed algorithm can save an average of 65.33% coding time of enhancement layer (EL) while achieving a better rate distortion (RD) performance over other state-of-the-art work.
机译:作为高效视频编码(HEVC)的可扩展扩展,可扩展高效视频编码(SHVC)编码器需要使用层间预测对多个HEVC层进行编码,这会导致编码复杂性的显着增加。在本文中,我们提出了一种新颖的帧间预测方案,以有效降低Quality SHVC中的计算复杂度。提出的算法的新功能包括:首先,空间和层间深度相关性可用于预测最可能的编码单元(CU)深度级别候选。其次,引入了一种针对当前CU深度级别的统计测试方法,以检查其块内的残差系数是否呈现相似的分布以尽早终止深度选择。最后,在从8个预测单元(PU)大小选择帧间预测期间,将空间和层间相关性与残差系数分布组合在一起,以确定PU划分模式是对称运动分区(SMP)还是非对称运动分区(AMP)。实验结果表明,与其他最新技术相比,该算法可以节省平均65.33%的增强层(EL)编码时间,同时实现更好的速率失真(RD)性能。

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