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VIP
2003
13 years 10 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
IJIG
2002
107views more  IJIG 2002»
13 years 9 months ago
A Sub-Vector Weighting Scheme for Image Retrieval with Relevance Feedback
In this paper, a sub-vector weighting scheme is proposed for the case of small sample in image retrieval with relevance feedback. By partitioning a multi-dimensional visual featur...
Lei Wang, Kap Luk Chan, Xuejian Xiong
ICIP
2003
IEEE
14 years 10 months ago
Image retrieval with SVM active learning embedding Euclidean search
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. H...
Lei Wang, Kap Luk Chan, Yap Peng Tan
WWW
2010
ACM
14 years 4 months ago
iRIN: image retrieval in image-rich information networks
In this demo, we present a system called iRIN designed for performing image retrieval in image-rich information networks. We first introduce MoK-SimRank to significantly improve...
Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Josh...
ISM
2008
IEEE
134views Multimedia» more  ISM 2008»
14 years 3 months ago
GeM-Tree: Towards a Generalized Multidimensional Index Structure Supporting Image and Video Retrieval
In this paper, we propose a tree-based multidimensional structure, GeM-Tree, which indexes both images and videos within a single general framework utilizing Earth Mover’s Dista...
Kasturi Chatterjee, Shu-Ching Chen