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.

DOI: https://doi.org/10.1007/978-3-642-00887-0_60

Abstract

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.

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About

• Item ORO ID
• 25882
• Item Type
• Conference or Workshop Item
• ISSN
• 0302-9743
• Extra Information
• Published in Lecture Notes in Computer Science, 2009, Volume 5463/2009, 693-698
• Academic Unit or 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)
• Copyright Holders
• © 2009 Springer-Verlag Berlin Heidelberg
• Depositing User
• Kay Dave