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dc.contributor.authorAl-Juboori, S
dc.contributor.authorMkwawa, Is-Haka
dc.contributor.authorSun, Lingfen
dc.contributor.authorIfeachor, Emmanuel
dc.contributor.authorIEEE,
dc.date.accessioned2019-01-30T14:53:56Z
dc.date.available2019-01-30T14:53:56Z
dc.date.issued2017-07-10
dc.identifier.isbn9781509060672
dc.identifier.issn1945-7871
dc.identifier.issn1945-788X
dc.identifier.urihttp://hdl.handle.net/10026.1/13250
dc.description.abstract

Quality of Experience (QoE) assessment of multimedia services is a challenging task and an understanding of how the user perceives quality at the physiological level would facilitate this. Physiological signals, such as the electroencephalogram (EEG), have shown promise in revealing the subject's emotion or attention in quality assessment and the correlation of this with media service quality. This paper investigated the relationships between changes in EEG features and subjective quality test scores (i.e. MOS) for High Dynamic Range (HDR) images viewed with a mobile device. Results show that changes in the gamma and beta bands correlated negatively with MOS, whereas positive correlations were observed in the alpha band. Coupling between activities in the delta and beta bands (i.e. positive correlation between power in the fast beta and slow delta frequency bands) is related to anxiety and dissatisfaction. Thus, the results suggest that increases in the degree of coupling are associated with decreases in HDR quality. This also suggests that in the HDR image QoE assessment, human emotions play a significant role. Potentially, these findings may be exploited in objective QoE perception modelling.

dc.format.extent91-96
dc.language.isoen
dc.publisherIEEE
dc.subjectHigh dynamic range images
dc.subjectquality of experience
dc.subjectelectroencephalography
dc.subjectMean Opinion Scores
dc.subjectdelta-beta coupling
dc.subjectsubjective tests
dc.titleINVESTIGATION OF RELATIONSHIPS BETWEEN CHANGES IN EEG FEATURES AND SUBJECTIVE QUALITY OF HDR IMAGES
dc.typeconference
dc.typeConference Proceeding
plymouth.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426984300016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2017-07-10
plymouth.date-finish2017-07-14
plymouth.publisher-urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8014303
plymouth.conference-name2017 IEEE International Conference on Multimedia and Expo (ICME)
plymouth.publication-statusPublished
plymouth.journal2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)
dc.identifier.doi10.1109/icme.2017.8019544
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dcterms.dateAccepted2017-02-27
dc.identifier.eissn1945-788X
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1109/icme.2017.8019544
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-07-10
rioxxterms.typeConference Paper/Proceeding/Abstract


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