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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...
CVPR
2005
IEEE
14 years 7 months ago
Evaluating Image Retrieval
We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance character...
Nikhil V. Shirahatti, Kobus Barnard
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
CLEF
2011
Springer
12 years 5 months ago
Evaluating Some Contextual Factors for Image Retrieval - ReDCAD Participation at ImageCLEF Wikipedia 2011
Our participation in the ImageCLEF Wikipedia retrieval task aims to study the efficiency of using two contextual factors in image retrieval: metadata which contains specific infor...
Hatem Awadi, Mouna Torjmen Khemakhem, Maher Ben Je...
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...