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Ph. Mylonas and Y. Avrithis
Using Multiple Domain Visual Context in Image Analysis
8th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2007), Santorini, Greece, 6-8 June 2007
ABSTRACT
In this paper we propose an algorithm to improve the results of knowledge-assisted image analysis, based on contextual information. In order to achieve this, we utilize fuzzy algebra, fuzzy sets and relations, towards efficient manipulation of image region concepts. We provide a novel context modelling, based on the OWL language, using RDF reification. Initial image analysis results are enhanced by the utilization of domain-independent, semantic knowledge in terms of concepts and relations between them. The novelty of the presented work is the context-driven re-adjustment of the degrees of confidence of the detected concepts produced by any image analysis technique, utilizing a domain-independent ontology infrastructure to handle the knowledge, as well as multiple application domains.
06 June , 2007
Ph. Mylonas and Y. Avrithis, "Using Multiple Domain Visual Context in Image Analysis", 8th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2007), Santorini, Greece, 6-8 June 2007
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