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Treffer: Computing, explaining and visualizing shape similarity in content-based image retrieval

Title:
Computing, explaining and visualizing shape similarity in content-based image retrieval
Authors:
ANDREOU, Ioannis, SGOUROS, Nikitas M
Source:
Information processing & management. 41(5):1121-1139
Publisher Information:
Oxford: Elsevier Science, 2005.
Publication Year:
2005
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Traitement et recherche de l'information, Information processing and retrieval, Recherche de l'information. Relation homme machine, Information retrieval. Man machine relationship, Processus de recherche. Evaluation, Research process. Evaluation, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Recherche information, Information retrieval, Búsqueda información, Algorithme, Algorithm, Algoritmo, Analyse contenu, Content analysis, Análisis contenido, Analyse image, Image analysis, Análisis imagen, Forme, Shape, Forma, Image, Imagen, Produit recherche, Search result, Resultado búsqueda, Similitude, Similarity, Similitud, Système recherche, Search system, Sistema investigación, Visualisation, Visualization, Visualización, Computer vision library, Content-based image retrieval, Results visualization, Turning function difference
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Technology Education and Digital Systems, University of Piraeus, Karaoli and Dimitriou 80, Piraeus, Greece
ISSN:
0306-4573
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16696972
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.16696972
Database:
PASCAL Archive

Weitere Informationen

Although 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.