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JAIR
2002

Structured Knowledge Representation for Image Retrieval

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Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects. As other approaches do, we start from low-level features extracted with image analysis to detect and characterize regions in an image. However, in contrast with feature-based approaches, we provide a syntax to describe segmented regions as basic objects and complex objects as compositions of basic ones. Then we introduce a companion extensional semantics for defining reasoning services, such as retrieval, classification, and subsumption. These services can be used for both exact and approximate matching, using similarity measures. Using our logical approach as a formal specification, we implemented a complete clientserver image retrieval system, which allows a user to pose both queries by sketch and queries by example. A set of experiments has been carried out on a testbed o...
Eugenio Di Sciascio, Francesco M. Donini, Marina M
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where JAIR
Authors Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello
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