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Dimension-specific search for multimedia retrieval.

Huang, Zi; Shen, Heng Tao; Song, Dawei; Li, Xue; Rüger, Stefan

Authors

Zi Huang

Heng Tao Shen

Dawei Song

Xue Li

Stefan Rüger



Contributors

Xiaofang Zhou
Editor

Qing Liu
Editor

Haruo Yokota
Editor

Ke Deng
Editor

Abstract

Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause pos- sible performance limitation, we propose the first Dimension-specific Similarity Measure (DSM) to take local dimension-specific constraints into consideration. The rationale for DSM is that significant differences on some individual dimen- sions may lead to different semantics. An efficient search algorithm is proposed to achieve fast Dimension-specific KNN (DKNN) retrieval. Experiment results show that our methods outperform traditional methods by large gaps.

Citation

HUANG, Z., SHEN, H.T., SONG, D., LI, X. and RUGER, S. 2009. Dimension-specific search for multimedia retrieval. In Zhou, X., Yokota, H., Deng, K. and Liu, Q. (eds.) Proceedings of the 14th International conference on database systems for advanced applications (DASFAA 2009), 21-23 April 2009, Brisbane, Australia. Lecture notes in computer science, 5463. Berlin: Springer [online], pages 693-698. Available from: https://doi.org/10.1007/978-3-642-00887-0_60

Conference Name 14th International conference on database systems for advanced applications (DASFAA 2009)
Start Date Apr 21, 2009
End Date Apr 23, 2009
Acceptance Date Mar 31, 2009
Online Publication Date Mar 31, 2009
Publication Date Dec 31, 2009
Deposit Date Aug 14, 2009
Publicly Available Date Aug 14, 2009
Publisher Springer (part of Springer Nature)
Pages 693-698
Series Title Lecture notes in computer science
Series Number 5463
ISBN 9783642008863
DOI https://doi.org/10.1007/978-3-642-00887-0_60
Keywords Global similarity measures (GSM); Performance limitation; Dimension-specific similarity measure (DSM) ; Dimension-specific constraints; Dimension-specific KNN (DKNN) retrieval
Public URL http://hdl.handle.net/10059/397

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