Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Incorporating concept ontology into multi-level image indexing

Language

English

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. Copyright 2009 ACM.

Keywords

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

Publication Date

2009

Source Publication Title

ICIMCS '09 Proceedings of the First International Conference on Internet Multimedia Computing and Service

Start Page

90

End Page

96

Conference Location

Kunming, China

Publisher

ACM

DOI

10.1145/1734605.1734629

Link to Publisher's Edition

http://dx.doi.org/10.1145/1734605.1734629

ISBN (print)

9781605588407

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