Abstract
Information Retrieval in digital libraries is at the same time a hard task and a crucial issue. While the primary type of information available in digital documents is usually text, images play a very important role because they pictorially describe concepts that are dealt with in the document. Unfortunately, the semantic gap separating such a visual content from the underlying meaning is very wide, and additionally image processing techniques are usually very demanding in computational resources. Hence, only recently the area of Content-Based Image Retrieval has gained more attention. In this paper we describe a new technique to identify known objects in a picture. It is based on shape contours, and works by progressive approximations to save computational resources and to improve preliminary shape extraction. Small (controlled) and more extensive experiments are illustrated, yielding interesting results.
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Ferilli, S., Esposito, F., Grieco, D., Biba, M. (2014). Contour-Based Progressive Identification of Known Shapes in Images. In: Catarci, T., Ferro, N., Poggi, A. (eds) Bridging Between Cultural Heritage Institutions. IRCDL 2013. Communications in Computer and Information Science, vol 385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54347-0_3
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DOI: https://doi.org/10.1007/978-3-642-54347-0_3
Publisher Name: Springer, Berlin, Heidelberg
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