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dc.contributor.authorΑνδρέου, Ιωάννηςel_GR
dc.contributor.authorΣγουρός, Νικήτας Μ.el_GR
dc.contributor.authorAndreou, Ioannisen
dc.contributor.authorSgouros, Nikitas Men
dc.descriptionΠεριέχει τη περίληψηel_GR
dc.description.abstractAlthough there is a growing need for Content-Based Image Retrieval systems, their use is often hampered by significant computational complexity and their inability to explain to their users the reasoning behind the similarity and retrieval processes they employ. This paper introduces Turning Function Difference (TFD), an efficient novel shape-matching method, which is based on the curvature of the shape outline and is translation, rotation and scale invariant. The method produces information about the correspondence of points belonging to the compared shapes that are used during the explanation process. TFD explains its results through an alignment and a visual animation process that highlights the similarities between the model images and each one of the selected images as perceived by the method. The proposed shape-matching method is used in the G Computer Vision (GCV) library, a single-object image retrieval system that utilizes information about the objects' outlines and explains the reasoning behind the selection of similar images to the user. The implemented system is freely available for download to all interested users.en
dc.sourceInformation Processing & Management. Sep 2005, Vol. 41 Issue 5, p1121-1139. 19p. 2 Charts, 1 Graph.en
dc.sourceLibrary, Information Science & Technology Abstracts (LISTA)en
dc.titleComputing, explaining and visualizing shape similarity in content-based image retrievalen
dc.subject.uncontrolledtermContent-based image retrievalen
dc.subject.uncontrolledtermTurning function differenceen
dc.subject.uncontrolledtermComputer vision libraryen
dc.subject.uncontrolledtermResults visualizationen
dc.subject.JITAΤεχνολογίες πληροφόρησης και τεχνολογίες βιβλιοθηκώνel_GR
dc.subject.JITAInformation technology and library technologyen

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