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Authors: Fang Qian 1 ; Mingjing Li 2 ; Lei Zhang 2 ; Hongjiang Zhang 2 and Bo Zhang 1

Affiliations: 1 State Key Lab of Intelligent Technology and Systems, Tsinghua University, China ; 2 Microsoft Research Asia, China

Abstract: The selection of relevant features plays a critical role in relevance feedback for content-based image retrieval. In this paper, we propose an approach for dynamically selecting the most relevant feature space in relevance feedback. During the feedback process, an SVM classifier is constructed in each feature space, and its generalization error is estimated. The feature space with the smallest generalization error is chosen for the next round of retrieval. Several kinds of estimators are discussed. We demonstrate experimentally that the prediction of the generalization error of SVM classifier is effective in relevant feature space selection for content-based image retrieval.

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Paper citation in several formats:
Qian, F.; Li, M.; Zhang, L.; Zhang, H. and Zhang, B. (2004). Dynamic Feature Space Selection in Relevance Feedback Using Support Vector Machines. In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS; ISBN 972-8865-01-5, SciTePress, pages 186-195. DOI: 10.5220/0002674001860195

@conference{pris04,
author={Fang Qian. and Mingjing Li. and Lei Zhang. and Hongjiang Zhang. and Bo Zhang.},
title={Dynamic Feature Space Selection in Relevance Feedback Using Support Vector Machines},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS},
year={2004},
pages={186-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002674001860195},
isbn={972-8865-01-5},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS
TI - Dynamic Feature Space Selection in Relevance Feedback Using Support Vector Machines
SN - 972-8865-01-5
AU - Qian, F.
AU - Li, M.
AU - Zhang, L.
AU - Zhang, H.
AU - Zhang, B.
PY - 2004
SP - 186
EP - 195
DO - 10.5220/0002674001860195
PB - SciTePress

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