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CLEF
2004
Springer
13 years 10 months ago
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation
In this paper we present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to repre...
Thomas Deselaers, Daniel Keysers, Hermann Ney
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 6 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka
MM
2005
ACM
167views Multimedia» more  MM 2005»
13 years 10 months ago
Evaluation axes for medical image retrieval systems: the imageCLEF experience
Content–based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being ...
Henning Müller, Paul Clough, William R. Hersh...
PR
2006
119views more  PR 2006»
13 years 4 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele
CLEF
2005
Springer
13 years 10 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...