Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieval of similar pictures on pictorial databases
Pattern Recognition
An image retrieval method using inquiries on spatial relationships
Journal of Information Processing
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
F_MP: a fuzzy match framework for rule-based programming
Data & Knowledge Engineering
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Querying and Retrieving Pictorial Data Using Semantics Induced by Colour Quality and Arrangement
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
A letter oriented minimal perfect hashing function
ACM SIGPLAN Notices
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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.