Abstract
Nowadays there are a lot of vector drawings available for inclusion into documents, which tend to be achieved and accessed by categories. However, to find a drawing among hundreds of thousands is not easy. While text-driven attempts at classifying image data have been recently supplemented with query-by-image content, these have been developed for bitmap-type data and cannot handle vectorial information. In this paper we present an approach to index and retrieve ClipArt images by content, using topological and geometric information automatically extracted from drawings. Additionally, we introduce a set of simplification heuristics to eliminate redundant information and useless elements. Preliminary usability tests to our prototype show promising results and suggest good acceptance of sketching as a query mechanism by users.
This work was funded in part by the Portuguese Foundation for Science and Technology, project 34672/99 and the European Commission, project SmartSketches IST-2000-28169.
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Fonseca, M.J., Barroso, B., Ribeiro, P., Jorge, J.A. (2004). Retrieving ClipArt Images by Content. In: Enser, P., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27814-6_59
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DOI: https://doi.org/10.1007/978-3-540-27814-6_59
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