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An efficient adaptive interpolation scheme for fast mesh-based motion estimation

机译:一种基于网格的快速运动估计的高效自适应插值方案

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Motion estimation and compensation is an essential part of existing video coding systems. Compared to the widely used block-matching algorithms (BMA), the mesh-based motion estimation (MME) produces better subjective and objective qualified image sequences in many cases, especially at low bitrates. However, the iterative refinement step of the MME is computationally too expensive. In this paper, we propose a fast MME scheme, which adjusts its interpolation patterns to the motion features of image sequences to achieve higher quality reconstructed results. Experimental results show notable rate-distortion improvement over both the BMA and the conventional non-iterative MME schemes, especially when applied on sequences with medium to high motion activities.
机译:运动估计和补偿是现有视频编码系统的重要组成部分。与广泛使用的块匹配算法(BMA)相比,基于网格的运动估计(MME)在许多情况下(尤其是在低比特率下)可产生更好的主观和客观合格图像序列。但是,MME的迭代优化步骤在计算上过于昂贵。在本文中,我们提出了一种快速的MME方案,该方案将其插值模式调整为图像序列的运动特征,以获得更高质量的重建结果。实验结果表明,与BMA和传统的非迭代MME方案相比,速率失真得到了显着改善,尤其是当应用于具有中到高运动活动的序列时。

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