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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2000
IEEE
16 years 1 months ago
Classification of Textured and Non-Textured Images Using Region Segmentation
The classification of general-purpose photographs into textured and non-textured images is critical for developing accurate content-based image retrieval systems for large-scale i...
Jia Li, James Ze Wang, Gio Wiederhold
MMS
2008
14 years 11 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
CLEF
2004
Springer
15 years 5 months ago
ImageCLEF 2004: Combining Image and Multi-lingual Search for Medical Image Retrieval
This article describes the technologies used for the various runs submitted by the University of Geneva in the context of the 2004 ImageCLEF competition. As our expertise is mainly...
Henning Müller, Antoine Geissbühler, Pat...
JMLR
2010
127views more  JMLR 2010»
14 years 6 months ago
Content-based Image Retrieval with Multinomial Relevance Feedback
The paper considers an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to her target. P...
Dorota Glowacka, John Shawe-Taylor
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
15 years 5 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