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ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 10 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
ICIP
1999
IEEE
13 years 9 months ago
Content-Based Color Image Retrieval with Relevance Feedback
Raimondo Schettini, Gianluigi Ciocca, Isabella Gag...
VISUAL
2000
Springer
13 years 9 months ago
Content-Based Image Retrieval by Relevance Feedback
Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...
Zhong Jin, Irwin King, Xuequn Li
MTA
2002
166views more  MTA 2002»
13 years 5 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
CIVR
2005
Springer
137views Image Analysis» more  CIVR 2005»
13 years 11 months ago
Aspect-Based Relevance Learning for Image Retrieval
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
Mark J. Huiskes