Ranking invariance between fuzzy similarity measures applied to image retrieval

  title={Ranking invariance between fuzzy similarity measures applied to image retrieval},
  author={Jean-François Omhover and Marcin Detyniecki and Maria Rifqi and Bernadette Bouchon-Meunier},
  journal={2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)},
  pages={1367-1372 vol.3}
We first introduce the fuzzy similarity measures in the context of a CBIR system. This leads to the observation of an invariance in the ranking for different similarity measures. We then propose an explanation to this phenomenon, and a larger theory about order invariance for fuzzy similarity measures. We introduce a definition for equivalence classes based on order conservation between these measures. We then study the consequences of this theory on the evaluation of document retrieval by… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications referenced by this paper.
Showing 1-10 of 13 references

Features of Similarity

View 6 Excerpts
Highly Influenced

A regionsimilarity-based image retrieval system

J. F. Omhover, M. Detyniecki, B. Bouchon-Meunier
In IPMU’04, Perugia, Italy, • 2004
View 3 Excerpts
Highly Influenced

Color indexing

International Journal of Computer Vision • 1991
View 3 Excerpts
Highly Influenced

Discrimination power of measures of resemblance

M. Rifqi, M. Detyniecki, B. Bouchon-Meunier
IFSA’03, Istanbul, Turkey • 2003
View 1 Excerpt

Similarity Measures

IEEE Trans. Pattern Anal. Mach. Intell. • 1999
View 2 Excerpts

Similar Papers

Loading similar papers…