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Conference Paper: Effective Location-Based Geo-tagged Image Retrieval for Mobile Culture and Tourism Education

TitleEffective Location-Based Geo-tagged Image Retrieval for Mobile Culture and Tourism Education
Authors
Keywordssocial image
high-dimensional indexing
probabilistic retrieval
Issue Date2013
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 12th International Conference on Advances in Web-Based Learning (ICWL), Kenting, Taiwan, 6-9 October 2013. In Lecture Notes in Computer Science, 2013, v. 8167, p. 152-161 How to Cite?
AbstractWith the development of Web 2.0 and location-based technologies, location- based image retrieval and indexing is now possible. This can provide high-quality support for field visits and teaching, which is an integral part for culture and tourism education. In the state-of-the-art retrieval methods, geo-tag and visual feature-based image retrieval has not been considered together so far. In this paper, we present an efficient location-based image retrieval method by conducting the search over combined geo-tag and visual-feature spaces. In this retrieval method, a cost-based query optimization scheme is proposed to optimize the query processing. Different from conventional image retrieval methods, our proposed retrieval algorithm combines the above two functions as uniform measure. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed retrieval and indexing methods respectively.
Persistent Identifierhttp://hdl.handle.net/10722/198256
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorZhuang, Yen_US
dc.contributor.authorChiu, KWDen_US
dc.contributor.authorJiang, Gen_US
dc.contributor.authorHu, Hen_US
dc.contributor.authorJiang, NANen_US
dc.date.accessioned2014-06-25T02:57:15Z-
dc.date.available2014-06-25T02:57:15Z-
dc.date.issued2013en_US
dc.identifier.citationThe 12th International Conference on Advances in Web-Based Learning (ICWL), Kenting, Taiwan, 6-9 October 2013. In Lecture Notes in Computer Science, 2013, v. 8167, p. 152-161en_US
dc.identifier.isbn9783642411748-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/198256-
dc.description.abstractWith the development of Web 2.0 and location-based technologies, location- based image retrieval and indexing is now possible. This can provide high-quality support for field visits and teaching, which is an integral part for culture and tourism education. In the state-of-the-art retrieval methods, geo-tag and visual feature-based image retrieval has not been considered together so far. In this paper, we present an efficient location-based image retrieval method by conducting the search over combined geo-tag and visual-feature spaces. In this retrieval method, a cost-based query optimization scheme is proposed to optimize the query processing. Different from conventional image retrieval methods, our proposed retrieval algorithm combines the above two functions as uniform measure. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed retrieval and indexing methods respectively.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectsocial image-
dc.subjecthigh-dimensional indexing-
dc.subjectprobabilistic retrieval-
dc.titleEffective Location-Based Geo-tagged Image Retrieval for Mobile Culture and Tourism Educationen_US
dc.typeConference_Paperen_US
dc.identifier.emailChiu, KWD: dchiu88@hku.hken_US
dc.identifier.doi10.1007/978-3-642-41175-5_16en_US
dc.identifier.scopuseid_2-s2.0-84885748432-
dc.identifier.hkuros229366en_US
dc.identifier.volume8167-
dc.identifier.spage152en_US
dc.identifier.epage161en_US
dc.publisher.placeGermany-

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