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» Boosting Image Retrieval
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ADBIS
2004
Springer
134views Database» more  ADBIS 2004»
14 years 3 months ago
Retrieval by Color Features in Image Databases
What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images....
Irena Valova, Boris Rachev
IR
2000
13 years 10 months ago
Content-Based Image Retrieval in Astronomy
Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information ...
André Csillaghy, Hans Hinterberger, A. O. B...
CLEF
2006
Springer
14 years 1 months ago
Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval
This paper shows how to use a text retrieval and an image retrieval engine in a cooperative way. The proposed Inter-Media PseudoRelevance Feedback approach shows how the image moda...
Nicolas Maillot, Jean-Pierre Chevallet, Joo-Hwee L...
ICIP
2001
IEEE
14 years 11 months ago
A recursive optimal relevance feedback scheme for content based image retrieval
In this paper, an optimal relevance algorithm is proposed, which adapts the response of a content-based image retrieval (CBIR) system to the user's information needs. In part...
Anastasios D. Doulamis, Nikolaos D. Doulamis
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
14 years 4 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu