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CVPR
2005
IEEE
16 years 7 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
ICIP
2004
IEEE
16 years 6 months ago
Image retrieval based on projective invariance
In this paper we propose an image retrieval scheme based on projectively invariant features. Since cross-ratio is the fundamental invariant feature under projective transformation...
S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Nambo...
144
Voted
MCS
2002
Springer
15 years 4 months ago
On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
INEX
2007
Springer
15 years 11 months ago
INEX 2007 Evaluation Measures
Abstract. This paper describes the official measures of retrieval effectiveness that are employed for the Ad Hoc Track at INEX 2007. Whereas in earlier years all, but only, XML el...
Jaap Kamps, Jovan Pehcevski, Gabriella Kazai, Moun...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
16 years 5 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