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ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
9 years 11 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
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
10 years 7 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
VIP
2003
9 years 8 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
ICIP
1999
IEEE
9 years 11 months ago
Content-Based Color Image Retrieval with Relevance Feedback
Raimondo Schettini, Gianluigi Ciocca, Isabella Gag...
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