Dimension-specific search for multimedia retrieval

Zi Huang*, Heng Tao Shen, Dawei Song, Xue Li, Stefan Rueger

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 14th International Conference, DASFAA 2009, Proceedings
Pages693-698
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event14th International Conference on Database Systems for Advanced Applications, DASFAA 2009 - Brisbane, QLD, Australia
Duration: 21 Apr 200923 Apr 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5463
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Database Systems for Advanced Applications, DASFAA 2009
Country/TerritoryAustralia
CityBrisbane, QLD
Period21/04/0923/04/09

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