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Dimension-specific search for multimedia retrieval

Huang, Zi; Shen, Heng Tao; Song, Dawei; Li, Xue and Rüger, Stefan (2009). Dimension-specific search for multimedia retrieval. In: Database Systems for Advanced Applications, pp. 693–698.

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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 dimension-specific 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.

Item Type: Conference or Workshop Item
Copyright Holders: 2009 Springer-Verlag Berlin Heidelberg
ISSN: 0302-9743
Extra Information: Published in Lecture Notes in Computer Science, 2009, Volume 5463/2009, 693-698
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Item ID: 25882
Depositing User: Kay Dave
Date Deposited: 04 Jan 2011 12:44
Last Modified: 07 Dec 2018 09:47
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