2009 Seventh International Conference on Advances in Pattern Recognition Proto-reduct Fusion Based Relevance Feedback in CBIR February 04-February 06 ISBN: 978-0-7695-3520-3
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAPR.2009.46
This paper proposes two related RF methods for use in CBIR. These two methods are based on a general classificatory analysis based framework for RF in CBMR that considers RF independently from retrieval. The proposed methods show how the user's information need expressed as a set of "proto-reducts'' can be used as the basis of a re-weighting technique that can improve subsequent retrieval The performance of the proposed methods is studied on two image collections with different characteristics and compared against an existing RF method.
Index Terms:
Relevance Feedback, CBIR, Rough Sets
Citation:
Samar Zutshi, Campbell Wilson, Bala Srinivasan, "Proto-reduct Fusion Based Relevance Feedback in CBIR," icapr, pp.121-124, 2009 Seventh International Conference on Advances in Pattern Recognition, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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