Article

Surveying the reality of semantic image retrieval

Authors:

Peter G. B. Enser,

Christine J. Sandom,

Paul H. LewisAuthors Info & Claims

VISUAL'05: Proceedings of the 8th international conference on Visual Information and Information Systems

Pages 177 - 188

https://doi.org/10.1007/11590064_16

Published: 05 July 2005 Publication History

Abstract

An ongoing project is described which seeks to add to our understanding about the real challenge of semantic image retrieval. Consideration is given to the plurality of types of still image, a taxonomy for which is presented as a framework within which to show examples of real ‘semantic’ requests and the textual metadata by which such requests might be addressed. The specificity of subject indexing and underpinning domain knowledge which is necessary in order to assist in the realization of semantic content is noted. The potential for that semantic content to be represented and recovered using CBIR techniques is discussed.

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Franzoni VLi YMengoni PSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)A path-based model for emotion abstraction on facebook using sentiment analysis and taxonomy knowledgeProceedings of the International Conference on Web Intelligence10.1145/3106426.3109420(947-952)Online publication date: 23-Aug-2017
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Leung CLi Y(2012)The correlation between semantic visual similarity and ontology-based concept similarity in effective web image searchProceedings of the 14th international conference on Web Technologies and Applications10.1007/978-3-642-29426-6_16(125-130)Online publication date: 11-Apr-2012
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Information & Contributors

Information

Published In

cover image Guide Proceedings

VISUAL'05: Proceedings of the 8th international conference on Visual Information and Information Systems

July 2005

290 pages

ISBN:3540304886

Editors:
Stéphane Bres
LIRIS, INSA-Lyon, France
,
Robert Laurini
LIRIS UMR 5205 CNRS, INSA-Lyon, France

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 05 July 2005

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Cited By

Franzoni VLi YMengoni PSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)A path-based model for emotion abstraction on facebook using sentiment analysis and taxonomy knowledgeProceedings of the International Conference on Web Intelligence10.1145/3106426.3109420(947-952)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3109420
Kumar KNimmagadda YLu Y(2012)Energy Conservation for Image Retrieval on Mobile SystemsACM Transactions on Embedded Computing Systems10.1145/2345770.234577911:3(1-22)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1145/2345770.2345779
Leung CLi Y(2012)The correlation between semantic visual similarity and ontology-based concept similarity in effective web image searchProceedings of the 14th international conference on Web Technologies and Applications10.1007/978-3-642-29426-6_16(125-130)Online publication date: 11-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-29426-6_16
Hampson CGürel MConlan O(2011)Using expert-derived aesthetic attributes to help users in exploring image databasesProceedings of the 22nd international conference on Database and expert systems applications - Volume Part II10.5555/2033546.2033582(334-349)Online publication date: 29-Aug-2011
https://dl.acm.org/doi/10.5555/2033546.2033582
Hare JLewis PEnser PSandom CSebe NWorring M(2007)Semantic facetsProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282320(250-257)Online publication date: 9-Jul-2007
https://dl.acm.org/doi/10.1145/1282280.1282320

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