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dc.contributor.authorLe Moan, Steven
dc.contributor.authorPedersen, Marius
dc.date.accessioned2020-02-24T07:24:28Z
dc.date.available2020-02-24T07:24:28Z
dc.date.created2019-12-05T11:02:32Z
dc.date.issued2019
dc.identifier.citationVision. 2019, 3 (61), .nb_NO
dc.identifier.issn2411-5150
dc.identifier.urihttp://hdl.handle.net/11250/2643311
dc.description.abstractChange blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this paper, we introduce a fully automated model to predict colour change blindness in cartoon images based on image complexity, change magnitude and observer experience. Using linear regression with only three parameters, the predictions of the proposed model correlate significantly with measured detection times. We also demonstrate the efficacy of the model to classify stimuli in terms of difficulty.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA Three-Feature Model to Predict Colour Change Blindnessnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber17nb_NO
dc.source.volume3nb_NO
dc.source.journalVisionnb_NO
dc.source.issue61nb_NO
dc.identifier.doi10.3390/vision3040061
dc.identifier.cristin1757027
dc.description.localcodec 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal