Ranking invariance between fuzzy similarity measures applied to image retrieval

@article{Omhover2004RankingIB,
  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)},
  year={2004},
  volume={3},
  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

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References

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

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