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» Boosting Image Retrieval
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137
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ISMDA
2004
Springer
15 years 8 months ago
Thermal Medical Image Retrieval by Moment Invariants
Thermal medical imaging provides a valuable method for detecting various diseases such as breast cancer or Raynaud’s syndrome. While previous efforts on the automated processing...
Shao Ying Zhu, Gerald Schaefer
124
Voted
ICIP
2006
IEEE
16 years 4 months ago
CBIR in Distributed Databases using a Multi-Agent System
Information retrieval techniques have to face both the growing amount of data to be processed and the "natural" distribution of these data over the network. Hence, we in...
David Picard, Matthieu Cord, Arnaud Revel
ICPR
2004
IEEE
16 years 3 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
CIVR
2007
Springer
280views Image Analysis» more  CIVR 2007»
15 years 8 months ago
Demonstration of image retrieval based on illumination invariant textural MRF features
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
Pavel Vacha, Michal Haindl
134
Voted
MSS
1999
IEEE
150views Hardware» more  MSS 1999»
15 years 6 months ago
Performance Benchmark Results for Automated Tape Library High Retrieval Rate Applications - Digital Check Image Retrievals
Benchmark tests have been designed and conducted for the purpose of evaluating the use of automated tape libraries in on-line digital check image retrieval applications. This type...
John Gniewek, George Davidson, Bowen Caldwell