Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6041
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLiang, Z-
dc.creatorFu, H-
dc.creatorChi, ZG-
dc.creatorFeng, DD-
dc.date.accessioned2014-12-11T08:24:35Z-
dc.date.available2014-12-11T08:24:35Z-
dc.identifier.issn1017-9909-
dc.identifier.urihttp://hdl.handle.net/10397/6041-
dc.language.isoenen_US
dc.publisherSPIE-International Society for Optical Engineeringen_US
dc.rightsLiang Z, Fu H, Chi Z and Feng D, "Hypergraph-based saliency map generation with potential region-of-interest approximation and validation," J. Electron. Imaging., 21(1), 013012, p. 1-4 (2012)en_US
dc.rightsCopyright 2012 Society of Photo-Optical Instrumentation Engineers & Society for Imaging Science and Technology. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_US
dc.rightshttp://dx.doi.org/10.1117/1.JEI.21.1.013012.en_US
dc.subjectApproximation theoryen_US
dc.subjectGraph theoryen_US
dc.subjectImage representationen_US
dc.titleHypergraph-based saliency map generation with potential region-of-interest approximation and validationen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Zheru Chien_US
dc.description.otherinformationAuthor name used in this publication: Dagan Fengen_US
dc.identifier.spage1-
dc.identifier.epage4-
dc.identifier.volume21-
dc.identifier.issue1-
dc.identifier.doi10.1117/1.JEI.21.1.013012-
dcterms.abstractA novel saliency model is proposed in this paper to automatically process images in the similar way as the human visual system which focuses on conspicuous regions that catch human beings’ attention. The model combines a hypergraph representation and a partitioning process with potential region-of-interest (p-ROI) approximation and validation. Experimental results demonstrate that the proposed method shows considerable improvement in the performance of saliency map generation.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of electronic imaging, Jan. 2012, v. 21, no. 1, 013012, p. 1-4-
dcterms.isPartOfJournal of electronic imaging-
dcterms.issued2012-01-
dc.identifier.isiWOS:000304189800024-
dc.identifier.eissn1560-229X-
dc.identifier.rosgroupidr60323-
dc.description.ros2011-2012 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
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