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A Data Type for Concept-Based Retrieval against Image Databases Indefinitely Indexed  

Yang, Jae-Dong (전북대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Databases / v.29, no.1, 2002 , pp. 27-33 More about this Journal
Abstract
There are two significant drawbacks in triple image indexing; one is that is cannot support concept-based image retrieval and the other is that it fails to allow disjunctive labeling of images. To remedy the drawbacks, we propose a new technique supporting a concept-based retrieval against images indexed by indefinite fuzzy triples (I-fuzzy triples). The I-fuzzy triples allow not only a disjunctive image labeling, but also a concept-based matching against images labeled disjunctively. The disjunctive labeling is based on the expended closed world assumption and the concept-based image retrieval is based on fuzzy matching. In this paper, we also propose a concept-based query evaluation against the image database to extract desired answers with the degree of certainty $\alpha$$\in$[1,0].
Keywords
Image Indexing; Image Databases; Information Retrieval;
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