2.50
Hdl Handle:
http://hdl.handle.net/10547/297904
Title:
A four-factor user interaction model for content-based image retrieval
Authors:
Liu, Haiming; Uren, Victoria; Song, Dawei; Ruger, Stefan
Abstract:
In order to bridge the "Semantic gap", a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.
Citation:
Liu, H., Uren, V., Song, D. and Ruger, S. (2009) 'A Four-factor User Interaction Model for Content-Based Image Retrieval', ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory, pp.297-304
Publisher:
Springer-Verlag Berlin Heidelberg
Issue Date:
2009
URI:
http://hdl.handle.net/10547/297904
DOI:
10.1007/978-3-642-04417-5_29
Additional Links:
http://dl.acm.org/citation.cfm?id=1612371
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9783642044168
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorLiu, Haimingen_GB
dc.contributor.authorUren, Victoriaen_GB
dc.contributor.authorSong, Daweien_GB
dc.contributor.authorRuger, Stefanen_GB
dc.date.accessioned2013-08-12T08:29:18Z-
dc.date.available2013-08-12T08:29:18Z-
dc.date.issued2009-
dc.identifier.citationLiu, H., Uren, V., Song, D. and Ruger, S. (2009) 'A Four-factor User Interaction Model for Content-Based Image Retrieval', ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory, pp.297-304en_GB
dc.identifier.isbn9783642044168-
dc.identifier.doi10.1007/978-3-642-04417-5_29-
dc.identifier.urihttp://hdl.handle.net/10547/297904-
dc.description.abstractIn order to bridge the "Semantic gap", a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.en_GB
dc.language.isoenen
dc.publisherSpringer-Verlag Berlin Heidelbergen_GB
dc.relation.urlhttp://dl.acm.org/citation.cfm?id=1612371en_GB
dc.titleA four-factor user interaction model for content-based image retrievalen
dc.typeConference papers, meetings and proceedingsen
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