Using Multiple Domain Visual Context in Image Analysis

Phivos Mylonas, Yannis Avrithis
2007 Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07)  
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
more » ... en 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 domainindependent ontology infrastructure to handle the knowledge, as well as multiple application domains.
doi:10.1109/wiamis.2007.86 dblp:conf/wiamis/MylonasA07 fatcat:ejgteq6vbvhcvjzwvry6uklk7i