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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.