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

Kai Zhang; Le Jian Liao; Yuanda Cao; Liehuang Zhu

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

Kai Zhang
, Le Jian Liao
, Yuanda Cao
, Liehuang Zhu

School of Cyberspace Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Advances in Intelligent IT - Active Media Technology 2006
Editors	Yuefeng Li, Mark Looi, Ning Zhong
Publisher	IOS Press BV
Pages	229-235
Number of pages	7
ISBN (Electronic)	1586036157, 9781586036157
Publication status	Published - 2006
Event	4th International Conference on Active Media Technology, AMT 2006 - Brisbane, Australia Duration: 7 Jun 2006 → 9 Jun 2006

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	138
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	4th International Conference on Active Media Technology, AMT 2006
Country/Territory	Australia
City	Brisbane
Period	7/06/06 → 9/06/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

airport security inspection
image retrieval
ontology
semantic Web
semantic retrieval

Cite this

@inproceedings{f544938ef8ba427991ebefab08e30820,

title = "Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection ApplicationsTPF",

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.",

keywords = "airport security inspection, image retrieval, ontology, semantic Web, semantic retrieval",

author = "Kai Zhang and Liao, \{Le Jian\} and Yuanda Cao and Liehuang Zhu",

note = "Publisher Copyright: {\textcopyright} 2006 The authors. All rights reserved.; 4th International Conference on Active Media Technology, AMT 2006 ; Conference date: 07-06-2006 Through 09-06-2006",

year = "2006",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press BV",

pages = "229--235",

editor = "Yuefeng Li and Mark Looi and Ning Zhong",

booktitle = "Advances in Intelligent IT - Active Media Technology 2006",

address = "Netherlands",

}

Zhang, K, Liao, LJ, Cao, Y & Zhu, L 2006, Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection ApplicationsTPF. in Y Li, M Looi & N Zhong (eds), Advances in Intelligent IT - Active Media Technology 2006. Frontiers in Artificial Intelligence and Applications, vol. 138, IOS Press BV, pp. 229-235, 4th International Conference on Active Media Technology, AMT 2006, Brisbane, Australia, 7/06/06.

Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection ApplicationsTPF. / Zhang, Kai; Liao, Le Jian; Cao, Yuanda et al.
Advances in Intelligent IT - Active Media Technology 2006. ed. / Yuefeng Li; Mark Looi; Ning Zhong. IOS Press BV, 2006. p. 229-235 (Frontiers in Artificial Intelligence and Applications; Vol. 138).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-Media Retrieval with Semantic Web

T2 - 4th International Conference on Active Media Technology, AMT 2006

AU - Zhang, Kai

AU - Liao, Le Jian

AU - Cao, Yuanda

AU - Zhu, Liehuang

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - airport security inspection

KW - image retrieval

KW - ontology

KW - semantic Web

KW - semantic retrieval

UR - https://www.scopus.com/pages/publications/85139071941

M3 - Conference contribution

AN - SCOPUS:85139071941

T3 - Frontiers in Artificial Intelligence and Applications

SP - 229

EP - 235

BT - Advances in Intelligent IT - Active Media Technology 2006

A2 - Li, Yuefeng

A2 - Looi, Mark

A2 - Zhong, Ning

PB - IOS Press BV

Y2 - 7 June 2006 through 9 June 2006

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

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