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» Image retrieval on large-scale image databases
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MM
2005
ACM
167views Multimedia» more  MM 2005»
15 years 3 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...
WACV
2002
IEEE
15 years 2 months ago
Retrieving Faces by the PIFS Fractal Code
The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However, the use of fractals for indexing images in con...
Sharat Chandran, Soumitra Kar
ICPR
2004
IEEE
15 years 11 months ago
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...
Daniel Keysers, Hermann Ney, Thomas Deselaers
ICIAR
2007
Springer
15 years 3 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
ICIP
2002
IEEE
15 years 11 months ago
A feature re-weighting approach for relevance feedback in image retrieval
Users of image databases often prefer to retrieve relevant images by categories. Unfortunately, images are usually indexed by low-level features like color, texture and shape, whi...
Yimin Wu, Aidong Zhang