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Content-based image identification system with hierarchical scheme

  • Sungkyunkwan University
  • Chungnam National University

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

Abstract

In this work, we propose a content-based image identification system based on local descriptor and hierarchical indexing scheme obtained by clustering with global descriptor. The proposed system uses our local descriptor developed in order to achieve robustness against geometric distortion. Moreover, we take advantages of global descriptor by clustering original image database by edge histogram descriptor since the local descriptor is not guaranteed in matching time between images pairs. Our hierarchical searching scheme decreases computation time by fine matching within partial database of candidate images.

Original languageEnglish
Title of host publication11th International Conference on Advanced Communication Technology, ICACT 2009 - Proceedings
Pages2059-2062
Number of pages4
StatePublished - 2009
Event11th International Conference on Advanced Communication Technology, ICACT 2009 - Phoenix Park, Korea, Republic of
Duration: 15 Feb 200918 Feb 2009

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume3
ISSN (Print)1738-9445

Conference

Conference11th International Conference on Advanced Communication Technology, ICACT 2009
Country/TerritoryKorea, Republic of
CityPhoenix Park
Period15/02/0918/02/09

Keywords

  • Clustering
  • Descriptor
  • Feature point
  • Global feature
  • Image identification
  • Image retrieval
  • Local feature

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