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An alternative cross-fusiform search algorithm for fast block matching motion

机译:快速块匹配运动的另一种交叉梭形搜索算法

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Block matching algorithm is generally used in motion estimation. How to search with different shape or size in block matching algorithms has enormous impact on their search speed and distortion performance. Based on analysis the difference of search patterns in block matching algorithms, an alternative cross fusiform search algorithm for fast block motion estimation is proposed in this paper. This algorithm basically employs cross-shaped search pattern in first step and then performs block matching by using a pair of fusiform-shaped search patterns in the subsequence steps. Experimental results show that the proposed ACFS algorithm performs about 20% faster than HEXBS in most of sequences, whereas similar distortion performance is still maintained. In some sequences with small motion, ACFS can even obtain up to 90% speed improvement over HEXBS. Thus, ACFS is particularly suitable for video sequences with small/medium motion.
机译:块匹配算法通常用于运动估计中。如何在块匹配算法中以不同形状或大小进行搜索对它们的搜索速度和失真性能具有巨大影响。在分析块匹配算法中搜索模式差异的基础上,提出了一种用于快速块运动估计的交叉梭形搜索算法。该算法首先在第一步中采用十字形搜索模式,然后在子序列步骤中通过使用一对纺锤形搜索模式执行块匹配。实验结果表明,所提出的ACFS算法在大多数序列中的性能比HEXBS快20%,而失真性能仍保持不变。在某些运动较小的序列中,ACFS甚至比HEXBS可获得高达90%的速度提高。因此,ACFS特别适用于具有小/中运动的视频序列。

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