The Modeling Platform for Video Surveillance Knowledge Base

Video surveillance applications involve video content modeling, video understanding, video retrieval service and data management, which rely on the exploration of video surveillance knowledge base. In this study, we explore a modeling platform for video surveillance knowledge base, which supports the establishment of classification and association relations between concepts, and to form the domain ontology related to video surveillance applications. The platform contains three main tools, with which reasoning and new knowledge is carried out on the basis of the image semantic annotation information.