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Efficient prediction of CU depth and PU mode for fast HEVC encoding using statistical analysis

机译:使用统计分析有效预测快速HEVC编码的CU深度和PU模式

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摘要

High Efficiency Video Coding (HEVC) adopts complex quadtree-structured CU (coding unit) and PU (prediction unit) modes. Thus, the search process for optimal modes causes high computational complexity in HEVC. To solve this problem, a fast coding algorithm is proposed. Thirteen neighboring CTUs (Coding Tree Unit) are divided into three classes with the k-means method, and are selectively used as the reference CTUs to calculate the predicted CU depth levels for the current CTU. Additionally, for every CU depth, we skip some rarely used PU modes to reduce the complexity of the PU selection algorithm. Experimental results show that compared with the HEVC reference software, our algorithm can achieve 56.71% time saving with Low Delay Configuration profile and 59.76% with Random Access Configuration profile, whereas values of BDBR (Bjontegaard Delta Bit Rate) are only 1.0517% and 0.9918%, respectively. Compared with five state-of-the-art algorithms, the proposed algorithm has significant encoding time reduction with good bitrate performances. (C) 2016 Elsevier Inc. All rights reserved.
机译:高效视频编码(HEVC)采用复杂的四叉树结构化CU(编码单元)和PU(预测单元)模式。因此,最优模式的搜索过程在HEVC中导致很高的计算复杂度。为了解决这个问题,提出了一种快速编码算法。通过k-means方法将13个相邻的CTU(编码树单元)分为三类,并有选择地用作参考CTU,以计算当前CTU的预测CU深度级别。此外,对于每个CU深度,我们跳过一些很少使用的PU模式以降低PU选择算法的复杂性。实验结果表明,与HEVC参考软件相比,我们的算法在“低延迟配置”配置文件下可以节省56.71%的时间,在“随机访问配置”配置文件下可以节省59.76%的时间,而BDBR(Bjontegaard Delta比特率)的值分别仅为1.0517%和0.9918% , 分别。与五种最新算法相比,该算法具有显着的编码时间减少和良好的比特率性能。 (C)2016 Elsevier Inc.保留所有权利。

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