A parameter adjustment method for relevance feedback

Wan, H., Chowdhury, Morshed and Sajjanhar, Atul 2003, A parameter adjustment method for relevance feedback, in Proceedings of the international conference on imaging science, systems, and technology : CISST'03, CSREA Press, Las Vegas, Nev., pp. 619-625.

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Title A parameter adjustment method for relevance feedback
Author(s) Wan, H.
Chowdhury, Morshed
Sajjanhar, Atul
Conference name International Conference on Imaging Science, Systems, and Technology (2003 : Las Vegas, Nevada)
Conference location Las Vegas, Nevada
Conference dates 23-26 June 2003
Title of proceedings Proceedings of the international conference on imaging science, systems, and technology : CISST'03
Editor(s) Arabnia, Hamid
Mun, Youngsong
Publication date 2003
Start page 619
End page 625
Publisher CSREA Press
Place of publication Las Vegas, Nev.
Summary Various relevance feedback techniques have been applied in Content-Based Image Retrieval (CBIR). By using relevance feedback, CBIR allows the user to progressively refine the system's response to a query. In this paper, after analyzing the feature distributions of positive and negative feedbacks, a new parameter adjustment method for iteratively improving the query vector and adjusting the weights is proposed. Experimental results demonstrate the effectiveness of this method.
ISBN 1892512475
9781892512475
Language eng
Field of Research 080305 Multimedia Programming
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009584

Document type: Conference Paper
Collection: School of Information Technology
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