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Adaptive Search Range Algorithms for Variable Block Size Motion Estimation in H.264/AVC

机译:H.264 / AVC中用于可变块大小运动估计的自适应搜索范围算法

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Comparing with search pattern motion estimation (ME) algorithms, adaptive search range (ASR) algorithms are more fundamental, regular and flexible. In variable block size motion estimation (VB-SME), ASR algorithms can be applied whether on a whole frame (frame level), or on an entire macroblock which includes up to forty-one blocks (macroblock level), or just on a single block (block level). In the other hand, in H.264/AVC, not the motion vectors (MVs) but the motion vector differences (MVDs) are coded and the median motion vector predictors (median-MVPs) are used to place the search centers. In this sense, it can be thought that the search windows (SWs) are centered at the positions pointed by median-MVPs, the search ranges (SRs) play the role of limiting MVDs. Thus it is reasonable for considering using MVDs to predict SRs. In this paper, one of the MB level and two of the block level, at all three MVD based SR prediction algorithms are proposed. VBSME based experiments are carried out to assess the proposed algorithms. Comparisons between the proposed three algorithms and the previously proposed one given in [8] are done in terms of encoding quality and computational complexity.
机译:与搜索模式运动估计(ME)算法相比,自适应搜索范围(ASR)算法更为基础,规则和灵活。在可变块大小的运动估计(VB-SME)中,无论是在整个帧(帧级别)上,还是在最多包括41个块(宏块级别)的整个宏块上,或者仅在单个帧上,都可以应用ASR算法块(块级别)。另一方面,在H.264 / AVC中,不对运动矢量(MV)进行编码,而是对运动矢量差(MVD)进行编码,并使用中值运动矢量预测值(median-MVPs)放置搜索中心。从这个意义上讲,可以认为搜索窗口(SW)集中在中值MVP指向的位置,搜索范围(SR)起到限制MVD的作用。因此,考虑使用MVD预测SR是合理的。本文提出了三种基于MVD的SR预测算法的MB级和块级两种。进行基于VBSME的实验以评估所提出的算法。在编码质量和计算复杂度方面,完成了所提出的三种算法与先前在[8]中提出的算法的比较。

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