LB-Index:图像的多分辨率索引结构

22nd International Conference on Data Engineering (ICDE'06) Pub Date : 2006-04-03 DOI:10.1109/ICDE.2006.85

Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh

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引用次数: 8

摘要

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

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].

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22nd International Conference on Data Engineering (ICDE'06)

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