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2003
9 years 14 days 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
CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
9 years 2 months ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes
ICPR
2004
IEEE
10 years 6 days ago
Group-based Relevance Feedback with Support Vector Machine Ensembles
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...
Chu-Hong Hoi, Michael R. Lyu
ICPR
2008
IEEE
10 years 9 days 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...
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