We propose all approach based on description logics for the sematic indexing and retrival of images containing complex objects. We aim at providing a conventional content-based image retrieval system, which adopts low-level features With image analysis, the ability to deal with the complex stucture of objects in real images. Starting from a region based segmentation of images we provide a syntax for the description of compex objects as composition of simpler "basic" shapes. An extensional semantics allows to define reasioning services, such as retrieval, classification, and subsumption. A prototype system has been implemented to substantiate our ideas. First, encouraging, results are presented and discussed here.
Semantic indexing for image retrieval using description logics / DI SCIASCIO, Eugenio; Donini, Fm; Mongiello, Marina. - 1929:(2000), pp. 372-383. (Intervento presentato al convegno 4th International Conference, VISUAL 2000 tenutosi a Lyon, France, nel November 2–4, 2000) [10.1007/3-540-40053-2_33].
Semantic indexing for image retrieval using description logics
DI SCIASCIO, Eugenio;MONGIELLO, Marina
2000-01-01
Abstract
We propose all approach based on description logics for the sematic indexing and retrival of images containing complex objects. We aim at providing a conventional content-based image retrieval system, which adopts low-level features With image analysis, the ability to deal with the complex stucture of objects in real images. Starting from a region based segmentation of images we provide a syntax for the description of compex objects as composition of simpler "basic" shapes. An extensional semantics allows to define reasioning services, such as retrieval, classification, and subsumption. A prototype system has been implemented to substantiate our ideas. First, encouraging, results are presented and discussed here.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
