Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection Applications

Authors:
Kai Zhang;Le-jian Liao;Yuanda Cao;Liehuang Zhu
Affiliations:
Department of Computer Science and Engineering, Beijing Institute of Technology, 100081;Department of Computer Science and Engineering, Beijing Institute of Technology, 100081, liaolj@bit.edu.cn;Department of Computer Science and Engineering, Beijing Institute of Technology, 100081, liaolj@bit.edu.cn;Department of Computer Science and Engineering, Beijing Institute of Technology, 100081, liaolj@bit.edu.cn
Venue:
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Year:
2006

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Abstract

Multi-media retrieval based on content meaning is an important issue. It has significant applications in the tracing of terrorists based on airport security inspection information. In this paper, we review the defects of traditional image retrieval technology. A semantic Web based image retrieval method is proposed, which is deployed into an airport security inspection information retrieval system. We present the techniques of domain ontology construction and semantic-Web annotation for the media. An image retrieval technique based on semantic annotation is suggested, and the design of a semantic information retrieval prototype system for airport security inspection application is described.