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VISUAL
1999
Springer
15 years 3 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
VLC
2008
178views more  VLC 2008»
14 years 11 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
JMLR
2010
127views more  JMLR 2010»
14 years 6 months ago
Content-based Image Retrieval with Multinomial Relevance Feedback
The paper considers an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to her target. P...
Dorota Glowacka, John Shawe-Taylor
ICIAR
2007
Springer
15 years 5 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
IJIG
2002
107views more  IJIG 2002»
14 years 11 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