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» Textural Features and Relevance Feedback for Image Retrieval
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SIGIR
2003
ACM
15 years 5 months ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha
CLEF
2005
Springer
15 years 5 months ago
Dublin City University at CLEF 2005: Experiments with the ImageCLEF St Andrew's Collection
The aim of the Dublin City University’s participation in the CLEF 2005 ImageCLEF St Andrew’s Collection task was to explore an alternative approach to exploiting text annotatio...
Gareth J. F. Jones, Kieran McDonald
IR
2000
14 years 11 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...
ICTIR
2009
Springer
15 years 6 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
MMS
2007
14 years 11 months ago
Evaluating a workspace's usefulness for image retrieval
Image searching is a creative process. We have proposed a novel image retrieval system that supports creative search sessions by allowing the user to organise their search results ...
Jana Urban, Joemon M. Jose