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A parametric spectral model for texture-based salience

2015Conference object Open Access
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dc.contributor.authorTerzic, Kasim
dc.contributor.authorKrishna, Sai
dc.contributor.authordu Buf, J. M. H.
dc.contributor.editorGall, J.
dc.contributor.editorGehler, P.
dc.contributor.editorLeibe, B.
dc.date.accessioned2018-12-07T14:58:25Z
dc.date.available2018-12-07T14:58:25Z
dc.date.issued2015
dc.description.abstractWe present a novel saliency mechanism based on texture. Local texture at each pixel is characterised by the 2D spectrum obtained from oriented Gabor filters. We then apply a parametric model and describe the texture at each pixel by a combination of two 1D Gaussian approximations. This results in a simple model which consists of only four parameters. These four parameters are then used as feature channels and standard Difference-of-Gaussian blob detection is applied in order to detect salient areas in the image, similar to the Itti and Koch model. Finally, a diffusion process is used to sharpen the resulting regions. Evaluation on a large saliency dataset shows a significant improvement of our method over the baseline Itti and Koch model.
dc.description.sponsorshipICT-2009.2.1-270247
dc.identifier.doi10.1007/978-3-319-24947-6_27
dc.identifier.isbn978-3-319-24947-6
dc.identifier.isbn978-3-319-24946-9
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.1/12013
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer International Publishing
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.subjectVisual attention
dc.subjectRegion detection
dc.subjectArea V1
dc.subjectSegmentation
dc.subjectOvert
dc.titleA parametric spectral model for texture-based salience
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FEEI-SII%2F1982%2F2013/PT
oaire.citation.conferencePlaceAachen, Germany
oaire.citation.endPage342
oaire.citation.startPage331
oaire.citation.titlePattern Recognition, Gcpr 2015
oaire.citation.title37Th German Conference on Pattern Recognition (Gcpr)
oaire.citation.volume9358
oaire.fundingStream5876
oaire.fundingStream3599-PPCDT
person.familyNameTerzic
person.familyNamedu Buf
person.givenNameKasim
person.givenNameHans
person.identifier.orcid0000-0001-6692-209X
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridN-6522-2013
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id24544884400
person.identifier.scopus-author-id6604075916
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typeconferenceObject
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