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Fast Mode Selection for HEVC Intra-Frame Coding With Entropy Coding Refinement Based on a Transparent Composite Model

机译:基于透明复合模型的带有熵编码细化的HEVC帧内编码快速模式选择

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摘要

In comparison with H.264/Advanced Video Coding, the newest video coding standard, High Efficiency Video Coding (HEVC), improves video coding rate-distortion (RD) performance, but at the price of significant increase in its encoding complexity, especially, in intra-mode decision due to the adoption of more complex block partitions and more candidate intra-prediction modes (IPMs). To reduce the mode decision complexity in HEVC intra-frame coding, while maintaining its RD performance, in this paper, we first formulate the mode decision problem in intra-frame coding as a Bayesian decision problem based on the newly proposed transparent composite model (TCM) for discrete cosine transform coefficients, and then present an outlier-based fast intra-mode decision (OIMD) algorithm. The proposed OIMD algorithm reduces the complexity using outliers identified by TCM to make a fast coding unit splitonsplit decision and reduce the number of IPMs to be compared. To further take advantage of the outlier information furnished by TCM, we also refine entropy coding in HEVC by encoding the outlier information first, and then the actual mode decision conditionally given the outlier information. The proposed OIMD algorithm can work with and without the proposed entropy coding refinement. Experiments show that for the all-intra-main test configuration of HEVC: 1) when applied alone, the proposed OIMD algorithm reduces, on average, the encoding time (ET) by 50% with 0.7% Bjontegaard distortion (BD)-rate increase and 2) when applied in conjunction with the proposed entropy coding refinement, it reduces, on average, both the ET by 50% and BD-rate by 0.15%.
机译:与H.264 /高级视频编码相比,最新的视频编码标准高效视频编码(HEVC)改善了视频编码率失真(RD)性能,但代价是其编码复杂度显着增加,尤其是,由于采用了更复杂的块分区和更多的候选帧内预测模式(IPM),因此在帧内模式决策中处于不利地位。为了降低HEVC帧内编码的模式决策复杂度并保持其RD性能,本文首先基于新提出的透明复合模型(TCM)将帧内编码中的模式决策问题表述为贝叶斯决策问题。 )的离散余弦变换系数,然后提出一种基于异常值的快速内部模式决策(OIMD)算法。提出的OIMD算法使用由TCM识别的异常值来降低复杂度,从而做出快速的编码单位拆分/不拆分决策,并减少要比较的IPM数量。为了进一步利用TCM提供的离群值信息,我们还通过先对离群值信息进行编码,然后对有条件地给出离群值信息的实际模式决策进行编码,来完善HEVC中的熵编码。提出的OIMD算法可以在有或没有提出的熵编码改进的情况下工作。实验表明,对于HEVC的全主测试配置:1)单独使用时,提出的OIMD算法平均将编码时间(ET)减少了50%,而Bjontegaard失真(BD)率增加了0.7% 2)与建议的熵编码改进结合使用时,平均可使ET降低50%,BD速率平均降低0.15%。

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