Research of video semantic retrieval system based on ontology
Quan Zheng · Journal of Computer Applications · 2010
Retrieving video content in the 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 retrieval,fully mined the structural and information of the video content,and built the hierarchical indexing,which can greatly strengthen the system's 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 model and indexing model,and studied the user's searching rewriting algorithm and ontology reasoning algorithm.