A logical framework for depiction and image interpretation
Artificial Intelligence
Design and evaluation of algorithms for image retrieval by spatial similarity
ACM Transactions on Information Systems (TOIS)
Geometric pattern matching under Euclidean motion
Computational Geometry: Theory and Applications - Special issue: computational geometry, theory and applications
DOLORES: a system for logic-based retrieval of multimedia objects
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Representation and recognition in vision
Representation and recognition in vision
A robust framework for content-based retrieval by spatial similarity in image databases
ACM Transactions on Information Systems (TOIS)
Visual information retrieval
A model of multimedia information retrieval
Journal of the ACM (JACM)
IEEE Transactions on Knowledge and Data Engineering
Spatial layout representation for query-by-sketch content-based image retrieval
Pattern Recognition Letters
Pattern Matching for Spatial Point Sets
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
Towards Computer Vision with Description Logics: Some Recent Progress
SPELMG '99 Proceedings of the Integration of Speech and Image Understanding
Structured knowledge representation for image retrieval
Journal of Artificial Intelligence Research
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Scalable Vector Graphics (SVG), the novel XML based language for describing two-dimensional graphics, is now a W3C standard and it is likely to become popular on the Internet, due to its inherent advantages over raster image formats in several domains. We present a system for semantic based retrieval by content of SVG. The system is endowed of a web crawler for documents search and a graphical interface for query by sketch. The approach adopted in the system implements a simple description logic devised for the semantic indexing and retrieval of complex objects. Its syntax allows to describe basic shapes and complex objects as compositions of basic ones, and transformations. Its extensional semantics, which is compositional, allows to define retrieval, classification, and subsumption services. An experimental evaluation is also presented, which shows results obtained in terms of precision and recall, but also points out that there are still few SVG documents available on the Web.