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An empirical study of inter-concept similarities in multimedia ontologies

Koskela, Markus and Smeaton, Alan F. (2007) An empirical study of inter-concept similarities in multimedia ontologies. In: CIVR 2007 - ACM International Conference on Image and Video Retrieval, 9-11 July 2007, Amsterdam, The Netherlands.

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Abstract

Generic concept detection has been a widely studied topic in recent research on multimedia analysis and retrieval, but the issue of how to exploit the structure of a multimedia ontology as well as different inter-concept relations, has not received similar attention. In this paper, we present results from our empirical analysis of different types of similarity among semantic concepts in two multimedia ontologies, LSCOM-Lite and CDVP-206. The results show promise that the proposed methods may be helpful in providing insight into the existing inter-concept relations within an ontology and selecting the most facilitating set of concepts and hierarchical relations. Such an analysis as this can be utilized in various tasks such as building more reliable concept detectors and designing large-scale ontologies.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Multimedia ontologies; semantic concept detection;
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/1282280.1282348
Copyright Information:© ACM, 2007. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Funders:Irish Research Council for Science Engineering and Technology, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:370
Deposited On:28 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 11:34

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