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A Fast Sub-Pixel Motion Estimation Algorithm for H.264/AVC Video Coding

机译:一种用于H.264 / aVC视频编码的快速亚像素运动估计算法

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摘要

Motion Estimation (ME) is one of the most time-consuming parts in videocoding. The use of multiple partition sizes in H.264/AVC makes it even morecomplicated when compared to ME in conventional video coding standards. It isimportant to develop fast and effective sub-pixel ME algorithms since (a) Thecomputation overhead by sub-pixel ME has become relatively significant whilethe complexity of integer-pixel search has been greatly reduced by fastalgorithms, and (b) Reducing sub-pixel search points can greatly save thecomputation for sub-pixel interpolation. In this paper, a novel fast sub-pixelME algorithm is proposed which performs a 'rough' sub-pixel search before thepartition selection, and performs a 'precise' sub-pixel search for the bestpartition. By reducing the searching load for the large number of non-bestpartitions, the computation complexity for sub-pixel search can be greatlydecreased. Experimental results show that our method can reduce the sub-pixelsearch points by more than 50% compared to existing fast sub-pixel ME methodswith negligible quality degradation.
机译:运动估计(ME)是视频编码中最耗时的部分之一。与常规视频编码标准中的ME相比,在H.264 / AVC中使用多个分区大小使其变得更加复杂。重要的是要开发快速有效的子像素ME算法,因为(a)通过快速算法,子像素ME的计算开销变得相对显着,而整数像素搜索的复杂性大大降低了;(b)减少了子像素搜索点可以大大节省用于亚像素插值的计算。在本文中,提出了一种新颖的快速子像素ME算法,该算法在分区选择之前执行“粗糙”子像素搜索,并对最佳分区执行“精确”子像素搜索。通过减少针对大量非最佳分区的搜索负荷,可以大大降低子像素搜索的计算复杂度。实验结果表明,与现有的快速子像素ME方法相比,我们的方法可以将子像素搜索点减少50%以上,且质量下降可忽略不计。

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