Object of Interest Detection by Saliency Learning

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dc.contributor.authorKhuwuthyakorn, Pattaraporn
dc.contributor.authorRobles-Kelly, Antonio
dc.contributor.authorZhou, Jun
dc.coverage.spatialHeraklion Greece
dc.date.accessioned2015-12-10T22:59:49Z
dc.date.createdSeptember 5-11 2010
dc.date.issued2010
dc.date.updated2015-12-10T08:16:25Z
dc.description.abstractIn this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of linear support vector machines. It exploits a divide-and-conquer strategy by partitioning the feature space into sub-regions of linearly separable data-points. This yields a structured learning approach where we learn a linear support vector machine for each region, the mixture weights, and the combination parameters for each of the salient features at hand. Thus, the method learns the combination of salient features such that a mixture of classifiers can be used to recover objects of interest in the image. We illustrate the utility of the method by applying our algorithm to the MSRA Salient Object Database.
dc.identifier.isbn9783642155543
dc.identifier.urihttp://hdl.handle.net/1885/61273
dc.publisherSpringer
dc.relation.ispartofseriesEuropean Conference on Computer Vision (ECCV 2010)
dc.sourceProceedings of the European Conference on Computer Vision (ECCV 2010)
dc.titleObject of Interest Detection by Saliency Learning
dc.typeConference paper
local.bibliographicCitation.lastpage649
local.bibliographicCitation.startpage636
local.contributor.affiliationKhuwuthyakorn, Pattaraporn, College of Engineering and Computer Science, ANU
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.affiliationZhou, Jun, College of Engineering and Computer Science, ANU
local.contributor.authoremailu1811090@anu.edu.au
local.contributor.authoruidKhuwuthyakorn, Pattaraporn, u4420081
local.contributor.authoruidRobles-Kelly, Antonio, u1811090
local.contributor.authoruidZhou, Jun, u1818501
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970110 - Expanding Knowledge in Technology
local.identifier.ariespublicationu4334215xPUB599
local.identifier.doi10.1007/978-3-642-15552-9_46
local.identifier.scopusID2-s2.0-78149312262
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

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