History-Based Motion Vector Prediction in Versatile Video Coding

Li Zhang, Kai Zhang, Hongbin Liu, Hsiao-Chiang Chuang, Yue Wang, Jizheng Xu, Pengwei Zhao, Dingkun Hong
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引用次数: 24

Abstract

In this paper, History-based Motion Vector Prediction (HMVP) is presented for video coding. With the proposed method, a table of HMVP candidates is maintained and updated on-the-fly. After decoding one inter-coded block, the table is updated by appending the associated motion information to the table as a new HMVP candidate. A First-In-First-Out (FIFO) rule is applied to manage the table. The HMVP candidates could be added to the Advanced Motion Vector Prediction (AMVP) candidate list as additional motion vector predictors. And they could also be added to the merge candidate list as additional merge candidates. With the proposed method, the motion information of previously coded blocks even not adjacent to the current block can be utilized for more efficient motion vector prediction. Simulation results have validated the efficiency of HMVP, wherein up to 4% BD rate saving could be achieved. The proposed method has been adopted by the next generation video coding standard, named Versatile Video Coding (VVC) developed by Joint Video Exploration Team (JVET).
多用途视频编码中基于历史的运动矢量预测
本文提出了一种基于历史的运动向量预测方法。该方法能够实时维护和更新候选候选候选候选表。在解码一个互编码块之后,通过将相关的运动信息附加到表中作为新的HMVP候选来更新表。采用先进先出(FIFO)规则来管理该表。HMVP候选可以添加到高级运动矢量预测(AMVP)候选列表中,作为额外的运动矢量预测器。它们也可以作为附加的合并候选对象添加到合并候选列表中。利用该方法,即使与当前块不相邻,也可以利用先前编码块的运动信息进行更有效的运动向量预测。仿真结果验证了该方法的有效性,可实现高达4%的BD速率节约。该方法已被联合视频探索小组(JVET)开发的下一代视频编码标准通用视频编码(VVC)所采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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