| M. Wallace, G. Akrivas, Ph. Mylonas, Y. Avrithis, S. Kollias |
| Using context and fuzzy relations to interpret multimedia content |
| Proceedings of the Third International Workshop on Content-Based Multimedia Indexing (CBMI), IRISA, Rennes, France, September 2003 |
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ABSTRACT
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| Object detection techniques are coming closer to the automatic detection and identification of objects in multimedia documents. Still, this is not sufficient for the understanding of multimedia content, mainly because a simple object may be related to multiple topics, few of which are indeed related to a given document. In this paper we determine the thematic categories that are related to a document based on the objects that have been automatically detected in it. Our approach relies on stored knowledge and a fuzzy hierarchical clustering algorithm; this algorithm uses a similarity measure that is based on the notion of context. The context is extracted using fuzzy ontological relations.
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| 22 September, 2003 |
| M. Wallace, G. Akrivas, Ph. Mylonas, Y. Avrithis, S. Kollias, "Using context and fuzzy relations to interpret multimedia content", Proceedings of the Third International Workshop on Content-Based Multimedia Indexing (CBMI), IRISA, Rennes, France, September 2003 |
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