NDLI: A Practical Image Retrieval Framework for Tourism Industry

Content Provider	IEEE Xplore Digital Library
Author	Shuxin Zhao Potdar, V. Chang, E.
Copyright Year	2007
Description	Author affiliation: Curtin Univ. of Technol., Perth (Shuxin Zhao; Potdar, V.; Chang, E.)
Abstract	Image retrieval (IR) is one of the most exciting and fastest growing research domains in the field of multimedia technology. And in the industrial ecosystems, images of products, activities, marketing materials etc are needed to be managed and fetched in an efficient way to support and facilitate business processes. Current techniques for IR including keyword based, content based and ontology based image retrieval have several unsolved issues. We promote the ontology based IR approach and focus on two issues: firstly, the difficulty in constructing ontologies of images for those industries without ontology professionals, and, secondly, none of the existing approaches consider image content ranking in search results. In this paper, we propose a practical framework to tackle these issues by introducing an abstract image ontology that serves as a blueprint of image ontologies and by incorporating a concept instance ranking scheme to allow ranking of each of the contents expressed in images, thus providing extra information for IR process. An application scenario in the tourism industry area is also presented.
Starting Page	2928
Ending Page	2932
File Size	1907154
Page Count	5
File Format	PDF
ISBN	9781424407545
DOI	10.1109/ISIE.2007.4375079
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Ontologies Content based retrieval Ecosystems Feedback Information retrieval Image databases Internet Rivers Australia
Content Type	Text
Resource Type	Article

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