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Sketching Method Based on Earth Mover's Distance for Image Contour Matching

机译:基于动土车距离的草图轮廓匹配方法

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摘要

Finding similar images to a given query image can be computed by different distance measures. One of general distance measures is the Earth Mover's Distance (EMD). Although, EMD has proven its ability to retrieve similar images in >95% true, high execution time is its major drawback. Therefore, previous algorithms of EMD could not run efficiently when performing retrievals from large databases. A contour-matching algorithm has been presented that quickly estimate the minimum weight matching using an embedding of the EMD into L,. This low-distortion algorithm somehow solves the time problem by sacrificing the performance due to generating heavily tailed image feature vector.
机译:查找与给定查询图像相似的图像可以通过不同的距离度量来计算。通用的距离测量方法之一是“地球移动者的距离”(EMD)。尽管EMD已证明其能够以超过95%的正确率检索相似图像的能力,但是执行时间长是其主要缺点。因此,从大型数据库执行检索时,以前的EMD算法无法有效运行。已经提出了轮廓匹配算法,其通过将EMD嵌入到L 1中来快速估计最小权重匹配。这种低失真算法通过牺牲性能来解决时间问题,这是由于生成了严重拖尾的图像特征向量而导致的。

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