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Design of fast motion estimation algorithm based on hardwareconsideration

机译:基于硬件考虑的快速运动估计算法设计

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Most fast block-matching motion estimation (BMME) algorithms are designed to minimize the search positions (or checking points) in a given search range in order to speed up the computation. In this paper, we introduce a fast BMME algorithm based on the consideration of hardware implementation. We use a one-dimensional (1-D) systolic array as the basic computing engine. In order to utilize this engine efficiently, we process several adjacent checking points, called checking vector, simultaneously. We propose a checking-vector-based search strategy and show that it can achieve a better algorithmic performance and can be very cost-effective in terms of hardware implementation for low bit-rate video applications
机译:大多数快速块匹配运动估计(BMME)算法设计为在给定搜索范围内最小化搜索位置(或检查点),以加快计算速度。在本文中,我们基于硬件实现的考虑,介绍了一种快速的BMME算法。我们使用一维(1-D)脉动阵列作为基本计算引擎。为了有效利用此引擎,我们同时处理了几个相邻的检查点,称为检查向量。我们提出了一种基于检查向量的搜索策略,并证明了该算法可以实现更好的算法性能,并且在低比特率视频应用的硬件实现方面可能非常具有成本效益

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