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22nd International Conference on Data Engineering (ICDE'06)
LB-Index: A Multi-Resolution Index Structure for Images
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2570-9
| ASCII Text | x | ||
| Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh, "LB-Index: A Multi-Resolution Index Structure for Images," Data Engineering, International Conference on, pp. 144, 22nd International Conference on Data Engineering (ICDE'06), 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDE.2006.85, author = {Vebjorn Ljosa and Arnab Bhattacharya and Ambuj K. Singh}, title = {LB-Index: A Multi-Resolution Index Structure for Images}, journal ={Data Engineering, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2570-9}, pages = {144}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.85}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Data Engineering, International Conference on TI - LB-Index: A Multi-Resolution Index Structure for Images SN - 0-7695-2570-9 SP EP A1 - Vebjorn Ljosa, A1 - Arnab Bhattacharya, A1 - Ambuj K. Singh, PY - 2006 KW - null VL - 0 JA - Data Engineering, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.85
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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