A Novel Emergency Cross-Media Information Retrieval Model

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原文链接

NETL
Springer Nature

外文摘要：Existing information retrieval approaches provide only limited capabilities to capture the query requirements。 However， a complete understanding of search requirements is essential for improving the effectiveness of retrieval in the emergency management field。 To achieve this goal， we proposed a novel emergency cross-media information retrieval model， which includes four parts: information collection， information indexing， information retrieval and intelligent mobile terminal。 The proposed model has two advantages。 One is to use ontology technique to identify appropriate semantic information according to query words。 The other is to use image semantic analysis based on SIFT to achieve the task of emergency image retrieval。 Conducted experiments show that our model obtained encouraging performance results。

外文关键词：

Emergency informationCross-mediaInformation retrievalOntologyQuery expansion

作者：

Lingling Zi、Junping Du、Qian Wang、Jangmyung Lee

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作者单位：

Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Bening 100876. China ,School or Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, China

Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Bening 100876. China

Department of Electronics Engineering, Pusan National University, Busan 609735, Korea

会议名称：

Chinese intelligent automation conference

会议地点：

Yangzhou(CN)

会议母体文献：

Proceedings of 2013 Chinese intelligent automation conference : Intelligent information processing

页码：

387-394

出版时间：

2013

DOI：

10.1007/978-3-642-38466-0_43