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» Boosting Image Retrieval
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CVPR
2000
IEEE
15 years 4 days ago
Integrating Color, Texture, and Geometry for Image Retrieval
This paper examines the problem of image retrieval from large, heterogeneous image databases. We present a technique that fulfills several needs identified by surveying recent res...
Nicholas R. Howe, Daniel P. Huttenlocher
CVPR
2008
IEEE
15 years 4 days ago
Private Content Based Image Retrieval
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the ...
Jagarlamudi Shashank, Palivela Kowshik, Kannan Sri...
CBMS
2003
IEEE
14 years 3 months ago
MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations
This paper presents the MultiWaveMed system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features a...
Agma J. M. Traina, César A. B. Castañ...
ICIP
2003
IEEE
14 years 11 months ago
New image retrieval paradigm: logical composition of region categories
We present a novel framework for intelligent search and retrieval by image content composition. Very different from the existing Query-by-Example paradigm, logical queries are exp...
Julien Fauqueur, Nozha Boujemaa
CIVR
2005
Springer
144views Image Analysis» more  CIVR 2005»
14 years 3 months ago
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval
This paper presents a new approach for building semantic image indexing and retrieval systems. Our approach is composed of four phases : (1) knowledge acquisition, (2) weakly-super...
Nicolas Maillot, Monique Thonnat