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Fast integer-pel and fractional-pel motion estimation for H.264/AVC

机译:H.264 / AVC的快速整数像素运动和分数像素运动估计

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This paper gives out a fast motion estimation algorithm for H.264/AVC, which has almost the same quality performance as that of the Full Search scheme and also provides a strategy to balance the quality performance and the search speed. Integer-pel search is the most time consuming module for motion estimation. In this paper a hybrid Unsymmetrical-cross Multi-hexagon-grid Search (UMHexagonS) algorithm is introduced, which well solves the false motion vector estimation problem because of the local-minimum. As results, it saves more than 90% on search time whereas the averaging PSNR loss is less than 0.056 dB for all tested sequences with different motion extent compared with the Fast Full Search scheme. Fractional-pel fast search is not negligible when the integer motion estimation has been extensively speeded up. By utilizing the property of uni-modal error surface inside the fractional-pel search window, a novel Center Biased Fractional-pel Search (CBFPS) algorithm is proposed in this paper, which can save 30-50% computation compared with the Full Fractional-pel Search scheme. Early termination is another problem discussed in this paper, to construct a complete motion estimation method, giving a uniform method which can cover a wide range of applications, terminating the program at early and right stage is certainly required. A model based on the Normative SAD Difference (NSD) is given to assist the termination decision-making, and a tradeoff between the search speed and the reconstructed quality can be achieved by changing a modulation factor.
机译:本文提出了一种用于H.264 / AVC的快速运动估计算法,该算法具有与完全搜索方案几乎相同的质量性能,并且提供了一种在质量性能和搜索速度之间取得平衡的策略。整数像素搜索是运动估计中最耗时的模块。本文提出了一种混合不对称交叉多六边形网格搜索(UMHexagonS)算法,该算法很好地解决了由于局部最小值导致的虚假运动矢量估计问题。结果,与快速完全搜索方案相比,对于所有具有不同运动范围的测试序列,它节省了90%以上的搜索时间,而平均PSNR损耗小于0.056 dB。当整数运动估计已被广泛地加速时,分数像素快速搜索不可忽略。利用分数像素搜索窗口内的单峰误差面的特性,提出了一种新颖的中心偏分数像素搜索(CBFPS)算法,与全分数分数搜索相比,该算法可以节省30-50%的计算量pel搜索方案。提早终止是本文讨论的另一个问题,要构建一个完整的运动估计方法,并给出一种可以覆盖广泛应用的统一方法,则肯定需要在早期和正确的阶段终止程序。给出了基于标准SAD差异(NSD)的模型来辅助终止决策,并且可以通过更改调制因子来实现搜索速度与重构质量之间的折衷。

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