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dc.contributor.authorMohedano, Eva
dc.contributor.authorHealy, Graham
dc.contributor.authorMcGuinness, Kevin
dc.contributor.authorGiró Nieto, Xavier
dc.contributor.authorO'Connor, Noel
dc.contributor.authorSmeaton, Alan F.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2014-11-25T09:39:14Z
dc.date.available2014-11-25T09:39:14Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationMohedano, E. [et al.]. Object segmentation in images using EEG signals. A: ACM Multimedia. "MM '14 Proceedings of the ACM International Conference on Multimedia". Orlando, Florida: ACM, 2014, p. 417-426.
dc.identifier.isbn978-1-4503-3063-3
dc.identifier.urihttp://hdl.handle.net/2117/24826
dc.description.abstractThis paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the image parts to the users such that they generate measurable brain reactions. When an image region, specifically a block of pixels, is displayed we estimate the probability of the block containing the object of interest using a score based on EEG activity. After several such blocks are displayed, the resulting probability map is binarized and combined with the GrabCut algorithm to segment the image into object and background regions. This study shows that BCI and simple EEG analysis are useful in locating object boundaries in images.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherACM
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Representació del coneixement
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshImage processing--Digital techniques
dc.subject.lcshBrain-computer interfaces
dc.subject.lcshElectroencephalography
dc.subject.lcshPattern recognition systems
dc.subject.otherBrain-computer interfaces
dc.subject.otherElectroencephalography
dc.subject.otherrapid serial visual presentation
dc.subject.otherObject segmentation
dc.subject.otherInteractive segmentation
dc.subject.otherGrabCut algorithm
dc.titleObject segmentation in images using EEG signals
dc.typeConference lecture
dc.subject.lemacImatges -- Processament -- Tècniques digitals
dc.subject.lemacNeurociència computacional
dc.subject.lemacElectroencefalografia
dc.subject.lemacReconeixement de formes (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1145/2647868.2654896
dc.relation.publisherversionhttp://dl.acm.org/citation.cfm?doid=2647868.2654896
dc.rights.accessOpen Access
local.identifier.drac15289856
dc.description.versionPostprint (published version)
local.citation.authorMohedano, E.; Healy, G.; McGuinness, K.; Giro, X.; O'Connor, N.; Smeaton, A.
local.citation.contributorACM Multimedia
local.citation.pubplaceOrlando, Florida
local.citation.publicationNameMM '14 Proceedings of the ACM International Conference on Multimedia
local.citation.startingPage417
local.citation.endingPage426


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