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ICPR
2004
IEEE
15 years 11 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja
ICTIR
2009
Springer
15 years 4 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
VLDB
2001
ACM
119views Database» more  VLDB 2001»
15 years 2 months ago
A Prototype Content-Based Retrieval System that Uses Virtual Images to Save Space
Previous research has demonstrated that space can be saved in a MultiMedia DataBase Management System (MMDBMS) by storing some of the data items virtually, meaning they are stored...
Leonard Brown, Le Gruenwald
MMS
2008
14 years 9 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
15 years 3 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