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BLOCK-BASED TRUE MOTION ESTIMATION USING DISTANCE DEPENDENT THRESHOLDED SEARCH

机译:使用距离相关阈值搜索的基于块的真实运动估计

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The full-search (FS) block-matching algorithm for block-based motion estimation works best for video coding in terms of minimum block-distortion error. But in true motion estimation the FS algorithm tends to capture many "false" motion vectors even when no object motion is present in the search region. This is due to the fact that the distortion of an object in a video frame is proportional to its velocity and therefore, as the length of a motion vector grows so does the block- difference error. This paper introduces an improved version of the FS algorithm including distance dependent thresholds to avoid capturing "false" motion vectors and improve the efficiency of the search.
机译:就最小块失真误差而言,用于基于块的运动估计的全搜索(FS)块匹配算法最适合视频编码。但是在真实运动估计中,即使在搜索区域中不存在物体运动时,FS算法也倾向于捕获许多“错误”运动矢量。这是由于以下事实:视频帧中对象的失真与它的速度成正比,因此,随着运动矢量长度的增加,块差误差也随之增加。本文介绍了一种改进的FS算法版本,其中包括与距离有关的阈值,以避免捕获“假”运动矢量并提高搜索效率。

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