Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction
Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction
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DOI：
10.1587/transinf.2015edl8237
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发表时间：
2016-11
期刊：
影响因子：
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通讯作者：
Xiantao Jiang;Tian Song;Wen Shi;Takafumi Katayama;T. Shimamoto;Lisheng Wang
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文献类型：
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作者：
Xiantao Jiang;Tian Song;Wen Shi;Takafumi Katayama;T. Shimamoto;Lisheng Wang
在这项工作中，提出了一种用于高效视频编码（HEVC）帧间编码的高效编码单元（CU）大小决策算法。CU分裂或不分裂被建模为基于概率图模型（PGM）的二元分类问题。该方法包括两个子方法：CU大小终止决策和CU大小跳过决策。该方法注重编码效率和编码复杂度之间的权衡，具有良好的性能。特别是在高分辨率应用中，仿真结果表明，与HEVC软件模型相比，该算法可以减少编码时间53.62%~ 57.54%，而BD率仅增加1.27%~ 1.65%。
In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.