Please use this identifier to cite or link to this item: https://doi.org/10.1145/1321440.1321503
DC FieldValue
dc.titleLatent semantic fusion model for image retrieval and annotation
dc.contributor.authorPriam, T.-T.
dc.contributor.authorMaillot, N.E.
dc.contributor.authorLim, J.-H.
dc.contributor.authorChevallet, J.-P.
dc.date.accessioned2014-12-12T07:15:44Z
dc.date.available2014-12-12T07:15:44Z
dc.date.issued2007
dc.identifier.citationPriam, T.-T.,Maillot, N.E.,Lim, J.-H.,Chevallet, J.-P. (2007). Latent semantic fusion model for image retrieval and annotation. International Conference on Information and Knowledge Management, Proceedings : 439-444. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1321440.1321503" target="_blank">https://doi.org/10.1145/1321440.1321503</a>
dc.identifier.isbn9781595938039
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115447
dc.description.abstractThis paper studies the effect of Latent Semantic Analysis (LSA) on two different tasks: multimedia document retrieval (MDR) and automatic image annotation (AIA). The contributions of this paper are twofold. First, to the best of our knowledge, this work is the first study of the influence of LSA on the retrieval of a significant number of multimedia documents (i.e. collection of 20000 tourist images). Second, it shows how different image representations (region-based and keypoint-based) can be combined by LSA to improve automatic image annotation. The document collections used for these experiments are the Corel photo collection and ImageCLEF 2006 collection. Copyright 2007 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/1321440.1321503
dc.sourceScopus
dc.subjectAutomatic annotation
dc.subjectImage indexing and retrieval
dc.subjectLatent semantic indexing
dc.subjectMultimedia fusion
dc.typeConference Paper
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1145/1321440.1321503
dc.description.sourcetitleInternational Conference on Information and Knowledge Management, Proceedings
dc.description.page439-444
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

62
checked on Nov 28, 2022

Page view(s)

348
checked on Nov 24, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.