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A Multi-Pattern Search Algorithm for Block Motion Estimation in Video Coding

机译:视频编码块运动估计的多模式搜索算法

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摘要

In this paper, we propose a novel multi-pattern based search technique, TCon search, for fast block matching motion estimation. It starts with small cross shaped and small triangular shaped patterns. Afterwards, based on the previous step optimal motion vector, the search pattern for next step is selected. Except first and last step, each search step considers only three points thus reducing the number of search points significantly. Experimental results demonstrate that the proposed TCon search algorithm performs better than the well-known diamond search (DS) and cross-diamond-hexagonal search (CDHS) algorithms. Compared with the DS algorithm, the proposed TCon search performs up to 2.67 times faster in terms of search point computation and up to 1.67 times faster than CDHS algorithm while comparable quality of reconstructed sequence is maintained.
机译:在本文中,我们提出了一种新颖的基于多模式的搜索技术TCon搜索,用于快速块匹配运动估计。它以小十字形和小三角形图案开始。之后,基于上一步最佳运动矢量,选择下一步的搜索模式。除第一步和最后一步外,每个搜索步骤仅考虑三个点,从而大大减少了搜索点的数量。实验结果表明,所提出的TCon搜索算法的性能优于众所周知的菱形搜索(DS)和跨钻石六边形搜索(CDHS)算法。与DS算法相比,所提出的TCon搜索在搜索点计算方面的执行速度快2.67倍,比CDHS算法快1.67倍,同时保持了相当的重构序列质量。

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