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In this study, we present an automatic generic ontology for video surveillance description, to be used as a highlevel layer in video-surveillance systems. We considered the temporal dimension of the video, using appropriate features and classification methods. Our ontology introduces six main classes; one of which is a representation for generic scene types, divided into twelve subtypes according to the number of moving objects before and after the interaction. This ontology was used to fulfilldblp:conf/bdcsintell/YoussefHJ18 fatcat:22uv44eoo5h65gsdmrbfnhbshe