Abstract
We propose an approach based on description logics for the semantic indexing and retrieval of images containing complex objects. We aim at providing a conventional content-based image retrieval system, which adopts low-level features extracted with image analysis, the ability to deal with the complex structure of objects in real images. Starting from a region based segmentation of images we provide a syntax for the description of complex objects as composition of simpler “basic” shapes. An extensional semantics allows to define reasoning 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.
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Di Sciascio, E., Donini, F.M., Mongiello, M. (2000). Semantic Indexing for Image Retrieval Using Description Logics. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_33
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DOI: https://doi.org/10.1007/3-540-40053-2_33
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