Research of video semantic retrieval system based on ontology

Retrieving video content in the semantic level can break "semantic gap" and increase the utilization efficiency of video content.The authors made use of the annotation and reasoning ability of ontology,studied video semantic retrieval,fully mined the structural and semantic information of the video content,and built the hierarchical semantic indexing,which can greatly strengthen the system's semantic retrieval ability.The ontology structure of Video Semantic Retrieval System(OVSR)integrated domain ontology,video ontology and core ontology,and has a strong expanding and interoperability ability.The authors mainly discussed OVSR's ontology structure,video semantic model and indexing model,and studied the user's searching rewriting algorithm and ontology reasoning algorithm.