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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.accessioned2015-09-03T09:20:51Z
dc.date.available2016-08-01T00:30:43Z
dc.date.created2015-07-31
dc.date.issued2015-07-31
dc.identifier.citationMohedano, E., Healy, G., McGuinness, K., Giro, X., O'Connor, N., Smeaton, A. Improving object segmentation by using EEG signals and rapid serial visual presentation. "Multimedia tools and applications", 31 Juliol 2015, p. 1-23.
dc.identifier.issn1380-7501
dc.identifier.urihttp://hdl.handle.net/2117/76579
dc.description.abstractThis paper extends our previous work on the potential of EEG-based brain computer interfaces to segment salient objects in images. The proposed system analyzes the Event Related Potentials (ERP) generated by the rapid serial visual presentation of windows on the image. The detection of the P300 signal allows estimating a saliency map of the image, which is used to seed a semi-supervised object segmentation algorithm. Thanks to the new contributions presented in this work, the average Jaccard index was improved from 0.47 to 0.66 when processed in our publicly available dataset of images, object masks and captured EEG signals. This work also studies alternative architectures to the original one, the impact of object occupation in each image window, and a more robust evaluation based on statistical analysis and a weighted F-score.
dc.format.extent23 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Vídeo digital
dc.subject.lcshDigital video
dc.subject.lcshImage processing--Digital techniques
dc.subject.lcshComputational neuroscience
dc.subject.lcshBrain-computer interfases
dc.subject.lcshImage segmentation
dc.titleImproving object segmentation by using EEG signals and rapid serial visual presentation
dc.typeArticle
dc.subject.lemacVídeo digital
dc.subject.lemacImatges -- Processament -- Tècniques digitals
dc.subject.lemacImatges -- Segmentació
dc.subject.lemacOrdinadors neuronals
dc.subject.lemacNeurociència computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1007/s11042-015-2805-0
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs11042-015-2805-0
dc.rights.accessOpen Access
local.identifier.drac16835103
dc.description.versionPostprint (author’s final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TEC2013-43935-R/ES/PROCESADO DE INFORMACION HETEROGENEA Y SEÑALES EN GRAFOS PARA BIG DATA. APLICACION EN CRIBADO DE ALTO RENDIMIENTO, TELEDETECCION, MULTIMEDIA Y HCI./
local.citation.authorMohedano, E.; Healy, G.; McGuinness, K.; Giro, X.; O'Connor, N.; Smeaton, A.
local.citation.publicationNameMultimedia tools and applications
local.citation.startingPage1
local.citation.endingPage23


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