Sciweavers

247 search results - page 4 / 50
» Feature selection for content-based image retrieval
Sort
View
ISCIS
2009
Springer
14 years 2 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
CLEF
2005
Springer
14 years 1 months ago
FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval
In this paper the methods we used in the 2005 ImageCLEF content-based image retrieval evaluation are described. For the medical retrieval task, we combined several low-level image ...
Thomas Deselaers, Tobias Weyand, Daniel Keysers, W...
JDCTA
2010
170views more  JDCTA 2010»
13 years 2 months ago
Color and Texture Feature For Content Based Image Retrieval
Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture...
Jianhua Wu, Zhaorong Wei, Youli Chang
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 26 days 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