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On Combining Fractional-Pixel Interpolation and Motion Estimation: A Cost-Effective Approach

机译:分数像素插值与运动估计相结合的一种成本有效方法

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The additional complexity of the adoption of fractional-pixel motion compensation technology arises from two aspects: fractional-pixel interpolation (FPI) and fractional-pixel motion estimation (FPME). Different from current fast algorithms, we use the internal link between FPME and FPI as a factor in considering optimization by integrally manipulating them rather than attempting to speed them up separately. In this paper, a refinement search order for FPME is proposed to satisfy the criteria of cost/performance efficiency. And then, some strategies, i.e., FPME skipping, early termination and search pattern pruning, are also given for reducing the number of search positions with negligible coding loss. We also propose a FPI algorithm to save redundant interpolation as well as reduce duplicate calculation. Experimental results show that our integrated algorithm significantly improves the overall speed of FPME and FPI. Compared with the ${rm FFPS}+{rm XFPI}$ and ${rm CBFPS}+{rm XFPI}$, the proposed algorithm has already reduced the speed by a factor of 65% and 32%. Additionally, our FPI algorithm can be used to cooperate with any fast FPME algorithms to greatly reduce the computational time of FPI.
机译:采用分数像素运动补偿技术的额外复杂性来自两个方面:分数像素插值(FPI)和分数像素运动估计(FPME)。与当前的快速算法不同,我们使用FPME和FPI之间的内部链接作为整体优化考虑因素的考虑因素,而不是尝试分别加速它们。在本文中,提出了一种针对FPME的细化搜索顺序,以满足成本/性能效率标准。然后,还给出了一些策略,即FPME跳过,提早终止和搜索模式修剪,以减少可忽略的编码损失的搜索位置数量。我们还提出了一种FPI算法,以节省冗余插值并减少重复计算。实验结果表明,我们的集成算法显着提高了FPME和FPI的整体速度。与$ {rm FFPS} + {rm XFPI} $和$ {rm CBFPS} + {rm XFPI} $相比,该算法已将速度降低了65%和32%。此外,我们的FPI算法可与任何快速FPME算法配合使用,从而大大减少了FPI的计算时间。

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