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SCIA
2005
Springer
117views Image Analysis» more  SCIA 2005»
15 years 6 months ago
Mapping Perceptual Texture Similarity for Image Retrieval
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
Janet S. Payne, T. John Stonham
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
15 years 6 months ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
ICIP
2001
IEEE
16 years 2 months ago
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...
George Gagaudakis, Paul L. Rosin
IPM
2008
90views more  IPM 2008»
15 years 1 months ago
Local relational string and mutual matching for image retrieval
Exhibiting new features and likely related matching techniques to efficiently retrieve images from databases remains an open problem. This paper is first devoted to such a novel d...
Adel Hafiane, Bertrand Zavidovique
MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 6 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham