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Hexagon-based search pattern for fast block motion estimation

机译:基于六边形的搜索模式,用于快速块运动估计

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In block motion estimation, a search pattern with a different shape or size has a very important impact on search speed and distortion performance. A square-shaped search pattern is adopted in many popular fast algorithms. Recently, a diamond-shaped search pattern was introduced in fast block motion estimation and has exhibited a faster search speed. Based on an in-depth examination of the influence of the search pattern on speed performance, we propose a novel algorithm using a hexagon-based search pattern to achieve further improvement. The hexagon-based search pattern is investigated in comparison with diamond search pattern and demonstrates significant speedup gain over the diamond-based search. Analysis shows that a speed improvement rate of the hexagon-based search (HEXBS) algorithm over the diamond search (DS) algorithm can be over 80% for locating some motion vectors in certain scenarios. In short, the proposed HEXBS algorithm can find the same motion vector with fewer search points than the DS algorithm. Generally speaking, the larger the motion vector, the more search points the. HEXBS algorithm can save, which is further justified by experimental results
机译:在块运动估计中,具有不同形状或大小的搜索模式对搜索速度和失真性能具有非常重要的影响。在许多流行的快速算法中都采用了正方形搜索模式。最近,在快速块运动估计中引入了菱形搜索模式,并且呈现出更快的搜索速度。在深入研究搜索模式对速度性能的影响的基础上,我们提出了一种新的算法,该算法使用基于六边形的搜索模式来实现进一步的改进。与基于菱形的搜索模式相比,对基于六边形的搜索模式进行了研究,结果表明,与基于菱形的搜索相比,基于六边形的搜索模式具有明显的加速增益。分析表明,在某些情况下,基于六边形的搜索(HEXBS)算法相对于菱形搜索(DS)算法的速度提高率可以达到80%以上。简而言之,与DS算法相比,提出的HEXBS算法可以通过更少的搜索点找到相同的运动矢量。一般来说,运动矢量越大,搜索点越多。 HEXBS算法可以节省,实验结果进一步证明了这一点。

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