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LB-Index: A Multi-Resolution Index Structure for Images
Atlanta, Georgia April 03-April 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.8522nd International Conference on Data ...
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Vebjorn Ljosa, University of California, Santa Barbara
Arnab Bhattacharya, University of California, Santa Barbara
Ambuj K. Singh, University of California, Santa Barbara
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].
Citation:
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh, "LB-Index: A Multi-Resolution Index Structure for Images," icde, pp.144, 22nd International Conference on Data Engineering (ICDE'06), 2006
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