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In this paper, a novel approach to domain-specific video analysis is proposed. The proposed approach is based on exploiting domainspecific knowledge in the form of an ontology to detect video objects corresponding to the semantic concepts defined in the ontology. The association between the visual objects and the defined semantic concepts is performed by taking into account both qualitative attributes of the semantic objects (e.g. color homogeneity), indicating necessary preprocessing methodsdoi:10.1109/icip.2004.1418760 dblp:conf/icip/MezarisKS04 fatcat:h5lmg4w5kbg2nb5k2muddc5qwi