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History-Based Motion Vector Prediction in Versatile Video Coding

机译:多功能视频编码中基于历史的运动矢量预测

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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).
机译:在本文中,提出了基于历史的运动矢量预测(HMVP)用于视频编码。使用所提出的方法,可以实时维护和更新HMVP候选者表。在对一个帧间编码块进行解码之后,通过将关联的运动信息作为新的HMVP候选者添加到表中来更新表。应用先进先出(FIFO)规则来管理表。可以将HMVP候选者添加到高级运动向量预测(AMVP)候选者列表中,作为其他预测运动向量。并且它们也可以作为其他合并候选者添加到合并候选者列表中。利用所提出的方法,甚至不与当前块相邻的先前编码的块的运动信息可以用于更有效的运动矢量预测。仿真结果验证了HMVP的效率,可以实现高达4%的BD速率节省。联合视频探索小组(JVET)开发的下一代视频编码标准(称为通用视频编码(VVC))已采用了该方法。

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