Frame Rate Up-Conversion Based On Motion-Region Segmentation

2016 30TH ANNIVERSARY OF VISUAL COMMUNICATION AND IMAGE PROCESSING (VCIP)(2016)

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摘要
The key problem of frame rate up-conversion (FRUC) is to obtain true motion vectors (MV), especially for the motion boundaries. In this paper, we propose a novel FRUC algorithm based on motion-region segmentation. According to region's temporal consistency, motion-regions are determined by a categorization of detected feature points' true MVs. Then, constrained by MV's spatial smoothness within a region, true motions are propagated to the entire frame. This motion-region segmentation based method achieves truthful motion vector field and preferable interpolated frames. Experiments show that comparing to the state-of-art methods, the proposed algorithm produces videos with better quality in terms of objective and subjective evaluation.
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关键词
motion-region segmentation,frame rate up conversion,K-mean clustering,feature detection,vector filtering
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