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» Instance-Based Relevance Feedback for Image Retrieval
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ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 12 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 11 months ago
Content-Based Color Image Retrieval with Relevance Feedback
Raimondo Schettini, Gianluigi Ciocca, Isabella Gag...
VISUAL
2000
Springer
13 years 11 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
ICIP
2002
IEEE
14 years 12 days ago
A graphic-theoretic model for incremental relevance feedback in image retrieval
Many traditional relevance feedback approaches for CBIR can only achieve limited short-term performance improvement without benefiting long-term performance. To remedy this limita...
Yueting Zhuang, Jun Yang 0003, Qing Li, Yunhe Pan
ICPR
2008
IEEE
14 years 8 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...