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Multi-Hypothesis Prediction Based on Implicit Motion Vector Derivation for Video Coding

机译:基于隐式运动矢量推导的视频编码多假设预测

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Traditional video coding standards H.264/AVC and HEVC adopt inter-frame prediction with single prediction (P frame) and bi-directional prediction (B frame), in which one and two hypotheses are utilized to generate the final prediction. Though more hypotheses have been proved to significantly improve the prediction accuracy, the additional bits used for signaling the motion information may decrease the overall rate-distortion performance conversely. In this paper, we propose a multi-hypothesis prediction scheme based on implicit derivation of motion vector. In the proposed scheme, the first prediction block is generated identically with the method in HEVC. Subsequently, motion estimation is applied on each reference frame by taking the first prediction block as template, and the search results serve as the additional hypothesis candidates. In this manner, the overheads of motion vector can be reduced. Simulation results show that the proposed algorithm can achieve average 1.1% coding gain compared to HEVC.
机译:传统的视频编码标准H.264 / AVC和HEVC采用具有单个预测(P帧)和双向预测(B帧)的帧间预测,其中利用一个和两个假设来生成最终预测。尽管已经证明了更多的假设可以显着提高预测精度,但是用于发信号通知运动信息的其他位可能会反过来降低总体速率失真性能。在本文中,我们提出了一种基于运动矢量隐式推导的多假设预测方案。在所提出的方案中,与HEVC中的方法相同地生成第一预测块。随后,通过将第一预测块作为模板,将运动估计应用于每个参考帧,并且搜索结果用作附加的假设候选。以这种方式,可以减少运动矢量的开销。仿真结果表明,与HEVC算法相比,该算法平均编码增益达到1.1%。

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