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Fast HEVC Intra Mode Decision Based on RDO Cost Prediction

机译:基于RDO成本预测的HEVC内部模式快速决策

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High efficiency video coding (HEVC) increases the number of intra coding modes to 35 to provide higher coding efficiency than previous video coding standards. This results in an increased encoder complexity, since there are more modes to be processed by the high resource-demanding rate-distortion optimization (RDO). In this paper, we propose a novel method to reduce the HEVC intra mode decision computational complexity and encoding time. This method is based on the prediction of the RDO cost of intra modes from a low-complexity sum of absolute transformed differences-based cost. By predicting the RDO cost, we are able to exclude non-promising modes from further processing and thereby save substantial computations. Also, a gradient-based method, using the Prewitt operator, is proposed to eliminate the non-relevant directional modes from the list of candidates. For even more complexity reduction, a mode classification is proposed to adaptively reduce chroma intra modes based on block texture. Experimental results show that we achieve a 47.3% encoding time reduction on average with a negligible quality loss of 0.062 dB for the Bjontegaard delta peak signal-to-noise ratio when we compare our method to the HEVC test model 15.0.
机译:高效视频编码(HEVC)将帧内编码模式的数量增加到35种,以提供比以前的视频编码标准更高的编码效率。这导致编码器复杂性增加,因为高资源需求率失真优化(RDO)需要处理更多模式。在本文中,我们提出了一种减少HEVC帧内模式决策计算复杂度和编码时间的新方法。该方法基于对基于绝对转换差的成本的低复杂度总和来预测帧内模式的RDO成本。通过预测RDO成本,我们可以将无前途的模式排除在进一步的处理之外,从而节省大量计算量。此外,提出了一种使用Prewitt算子的基于梯度的方法,以从候选列表中消除不相关的定向模式。为了进一步降低复杂度,提出了一种模式分类以基于块纹理来自适应地减少色度帧内模式。实验结果表明,当我们将方法与HEVC测试模型15.0进行比较时,Bjontegaard德尔塔峰值信噪比平均降低了47.3%的编码时间,而质量损失却可以忽略不计0.062 dB。

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