基于鲁棒区域的视频压缩运动估计

Jonathan S. Y. Teh, M. Spann
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引用次数: 3

摘要

提出了一种用于视频压缩系统的基于区域的运动估计算法。该算法基于重叠块运动估计,采用最小二乘中值(lmed)误差度量来估计初始运动场。重叠的块改进了每个像素的运动估计。随后,将基于块的运动场分割为相干运动的各个区域,并在速率失真框架中对分割进行细化。然后在迭代过程中估计和细化区域边界。结果表明,与其他基于块的方法相比,该方法的预测误差显著降低。
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Robust region-based motion estimation for video compression
This paper presents a region-based motion estimation algorithm for use in video compression systems. It is based on overlapping block motion estimation with a least-median of squares (LMedS) error measure to estimate the initial motion field. The overlapping blocks improve the motion estimate for each pixel. The block-based motion field is subsequently segmented into various regions of coherent motion and the segmentation is refined in a rate-distortion framework. Region boundaries are then estimated and refined in an iterative procedure. The results show significantly lower prediction errors compared to other block-based approaches.
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