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HEVC fast FME algorithm using IME RD-costs based error surface fitting scheme

机译:基于IME RD成本的误差表面拟合方案的HEVC快速FME算法

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Motion Estimation (ME), which is composed of integer motion estimation (IME) and fractional motion estimation (FME), is the most computational intensive module in HEVC encoding procedure. In this paper, a new fast fractional pixel motion search method, that is based on a six-parameter two-dimension error surface model, is proposed. In our proposal, by solving the over-determined equations, nine integer-pixel rate-distortion costs (RDC), including the best integer-pixel search candidate and its eight neighboring integer pixels, are used to estimate the six parameters in the model. Then, we can obtain the minimal position on the fitted error surface equation, which is the quarter-pixel accurate search center. We provided three kinds of search patterns in the quarter-pixel search stage, which could take a tradeoff between the computational complexity and the prediction accuracy. Experimental results demonstrate that, as compared with HM reference software (HM-15.0), the three proposed FME patterns could reduce 35.1%, 29.4%, and 22.5% encoding time, while the corresponding compression efficiency losses in terms of BDBR are 3.04%, 0.79%, and 0.43%, respectively.
机译:由整数运动估计(IME)和分数运动估计(FME)组成的运动估计(ME)是HEVC编码过程中计算量最大的模块。本文提出了一种新的基于六参数二维误差表面模型的快速分数像素运动搜索方法。在我们的建议中,通过求解超定方程,包括最佳整数像素搜索候选者及其八个相邻整数像素在内的九个整数像素速率失真成本(RDC)用于估计模型中的六个参数。然后,我们可以在拟合误差表面方程上获得最小位置,该最小位置是四分之一像素的精确搜索中心。在四分之一像素搜索阶段,我们提供了三种搜索模式,可以在计算复杂度和预测精度之间进行权衡。实验结果表明,与HM参考软件(HM-15.0)相比,三种建议的FME模式可减少35.1%,29.4%和22.5%的编码时间,而相应的BDBR压缩效率损失为3.04%,分别为0.79%和0.43%。

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