Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

An Empirical Study of Inter-Concept Similarities in Multimedia Ontologies

Markus Koskela and Alan F. Smeaton. In Proceedings of ACM International Conference on Image and Video Retrieval (CIVR 2007). Amsterdam, The Netherlands. July 2007.

PDF version available here. © Copyright 2007 by ACM, Inc.

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.

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