TY - JOUR
T1 - Pseudo relevance feedback based on iterative probabilistic one-class SVMs in web image retrieval
AU - He, Jingrui
AU - Li, Mingjing
AU - Li, Zhiwei
AU - Zhang, Hong Jiang
AU - Tong, Hanghang
AU - Zhang, Changshui
N1 - Funding Information:
Acknowledgements. This work was supported by National High Technology Research and Development Program of China (863 Program) under contract No.2001AA114190.
PY - 2004
Y1 - 2004
N2 - To improve the precision of top-ranked images returned by a web image search engine, we propose in this paper a novel pseudo relevance feedback method named iterative probabilistic one-class SVMs to re-rank the retrieved images. By assuming that most top-ranked images are relevant to the query, we iteratively train one-class SVMs, and convert the outputs to probabilities so as to combine the decision from different image representation. The effectiveness of our method is validated by systematic experiments even if the assumption is not well satisfied.
AB - To improve the precision of top-ranked images returned by a web image search engine, we propose in this paper a novel pseudo relevance feedback method named iterative probabilistic one-class SVMs to re-rank the retrieved images. By assuming that most top-ranked images are relevant to the query, we iteratively train one-class SVMs, and convert the outputs to probabilities so as to combine the decision from different image representation. The effectiveness of our method is validated by systematic experiments even if the assumption is not well satisfied.
UR - http://www.scopus.com/inward/record.url?scp=35048812970&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-30542-2_27
DO - 10.1007/978-3-540-30542-2_27
M3 - Article
AN - SCOPUS:35048812970
SN - 0302-9743
VL - 3332
SP - 213
EP - 220
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -