Incorporating concept ontology into multi-level image indexing

R. C.F. Wong, Clement H C LEUNG

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

The huge availability of multimedia data in the World Wide Web, and its exponential growth from the past few years, has made the search, indexing and maintenance of the information a difficult and time consuming task when they are carried out manually. Image indexing becomes one of the most popular research topic as the effectiveness of image retrieval depends on meaningful indexing. In this paper, we propose an extension of image annotation models which incorporaties concept ontology for multi-level image indexing. Our system is evaluated quantitatively using more than 100,000 web images and around 1,000,000 tags. Experimental results indicate that this approach is able to deliver good results.

Original languageEnglish
Title of host publication1st International Conference on Internet Multimedia Computing and Service, ICIMCS 2009
Pages90-96
Number of pages7
DOIs
Publication statusPublished - 2009
Event1st International Conference on Internet Multimedia Computing and Service, ICIMCS 2009 - Kunming, Yunnan, China
Duration: 23 Nov 200925 Nov 2009

Publication series

Name1st International Conference on Internet Multimedia Computing and Service, ICIMCS 2009

Conference

Conference1st International Conference on Internet Multimedia Computing and Service, ICIMCS 2009
Country/TerritoryChina
CityKunming, Yunnan
Period23/11/0925/11/09

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

User-Defined Keywords

  • Automatic semantic annotation
  • Concept-base image annotation
  • Image retrieval

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