LB-Index: A Multi-Resolution Index Structure for Images

Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh
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引用次数: 8

Abstract

In many domains, the similarity between two images depends on the spatial locations of their features. The earth mover’s distance (EMD), first proposed by Werman et al. [8], measures such similarity. It yields higher-quality image retrieval results than the Lp-norm, quadratic-form distance, and Jeffrey divergence [6], and has also been used for similarity search on contours [3], melodies [7], and graphs [2].
LB-Index:图像的多分辨率索引结构
在许多领域,两幅图像之间的相似性取决于其特征的空间位置。首先由Werman等人[8]提出的土动器距离(EMD)测量了这种相似性。它比lp范数、二次形式距离和Jeffrey散度[6]产生了更高质量的图像检索结果,也被用于轮廓[3]、旋律[7]和图形[2]的相似性搜索。
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