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

机译:HEVC快速FME算法使用基于IME RD成本的误差表面拟合方案

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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编码过程中最多计算的密集模块。本文提出了一种基于六参数二维误差表面模型的新的快速分数像素运动搜索方法。在我们的提议中,通过解决过分确定的方程,九个整数像素率 - 失真成本(RDC),包括最佳整数像素搜索候选和其八个相邻的整数像素,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,这是四分之一像素精确的搜索中心。我们在四分之一像素搜索阶段提供了三种搜索模式,可以在计算复杂性和预测精度之间采取权衡。实验结果表明,与HM参考软件(HM-15.0)相比,三种提出的FME模式可以减少35.1%,29.4%和22.5%的编码时间,而BDBR则相应的压缩效率损失为3.04%, 0.79%和0.43%。

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