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dc.contributor.authorMohedano Robles, Eva
dc.contributor.authorSalvador Aguilera, Amaia
dc.contributor.authorPorta, Sergi
dc.contributor.authorGiró Nieto, Xavier
dc.contributor.authorHealy, Graham
dc.contributor.authorMcGuinness, Kevin
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.accessioned2016-02-03T13:35:15Z
dc.date.available2016-02-03T13:35:15Z
dc.date.issued2015
dc.identifier.citationMohedano, E., Salvador, A., Porta, S., Giro, X., Healy, G., McGuinness, K., O'Connor, N., Smeaton, A. Exploring EEG for object detection and retrieval. A: ACM International Conference on Multimedia Retrieval. "ICMR '15 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval". Shanghai: Association for Computing Machinery (ACM), 2015, p. 591-594.
dc.identifier.isbn978-1-4503-3274-3
dc.identifier.urihttp://hdl.handle.net/2117/82503
dc.description.abstractThis paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. Several experiments are performed using a rapid serial visual presentation (RSVP) of images at different rates (5Hz and 10Hz) on 8 users with different degrees of familiarization with BCI and the dataset. We compare the feedback from the BCI and mouse-based interfaces in a subset of TRECVid images, finding that, when users have limited time to annotate the images, both interfaces are comparable in performance. Comparing our best users in a retrieval task, we found that EEG-based relevance feedback can outperform mouse-based feedback.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshBrain-computer interfaces
dc.subject.lcshElectroencephalography
dc.subject.otherBrain-computer interfaces
dc.subject.otherElectroencephalography
dc.subject.otherRapid serial visual presentation
dc.subject.otherClassification
dc.subject.otherInstance retrieval
dc.titleExploring EEG for object detection and retrieval
dc.typeConference lecture
dc.subject.lemacInterfícies cervell-ordinador
dc.subject.lemacElectroencefalografia
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1145/2671188.2749368
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://dl.acm.org/citation.cfm?doid=2671188.2749368
dc.rights.accessOpen Access
local.identifier.drac16832037
dc.description.versionPreprint
local.citation.authorMohedano, E.; Salvador, A.; Porta, S.; Giro, X.; Healy, G.; McGuinness, K.; O'Connor, N.; Smeaton, A.
local.citation.contributorACM International Conference on Multimedia Retrieval
local.citation.pubplaceShanghai
local.citation.publicationNameICMR '15 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval
local.citation.startingPage591
local.citation.endingPage594


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