Abstract
This paper proposes a concept-based and an inexact image match retrieval technique based on fuzzy triples. The most general method adopted to index and retrieve images based on this spatial structure may be the triple framework. However, this framework has two significant drawbacks; one is that it can not support concept-based image retrieval and the other is that it fails to deal with an inexact match among directions. Presented in this paper is an image retrieval technique based on fuzzy triples which makes the concept-based and inexact match possible. For the concept-based match, we employ a set of fuzzy membership functions structured like a thesaurus, whereas for the inexact match, we introduce k-weight function to quantify the similarity between directions. In addition, we analyze the retrieval effectiveness of our framework regarding the degree of the conceptual matching and the inexact matching.
This work was supported by the KOSEF no. 97-0100-1010-3
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© 1999 Springer-Verlag Berlin Heidelberg
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Jeong, S.H., Yang, J.D., Yang, H.J., Choi, J.H. (1999). Image Retrieval Using Fuzzy Triples. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_81
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DOI: https://doi.org/10.1007/3-540-48762-X_81
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