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Dimension-specific search for multimedia retrieval.

Huang, Zi; Shen, Heng Tao; Song, Dawei; Li, Xue; R�eger, Stefan


Zi Huang

Heng Tao Shen

Dawei Song

Xue Li

Stefan R�eger


Xiaofang Zhou

Qing Liu

Haruo Yokota

Ke Deng


Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause possible performance limitation, we propose the first Dimension-specific Similarity Measure (DSM) to take local dimensionspecific constraints into consideration. The rationale for DSM is that significant differences on some individual dimensions 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.


HUANG, Z., SHEN, H.T., SONG, D., LI, X. and RUEGER, 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:

Conference Name 14th International conference on database systems for advanced applications (DASFAA 2009)
Conference Location Brisbane, Australia
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
Pages 693-698
Series Title Lecture notes in computer science
Series Number 5463
ISBN 9783642008863
Keywords Global similarity measures (GSM); Performance limitation; Dimension-specific similarity measure (DSM) ; Dimension-specific constraints; Dimension-specific KNN (DKNN) retrieval
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