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dc.contributor.authorMalekmohamadi, Hosseinen
dc.contributor.authorFernando, W.en
dc.contributor.authorDanish, E.en
dc.contributor.authorKondoz, A.en
dc.date.accessioned2017-10-11T14:30:26Z
dc.date.available2017-10-11T14:30:26Z
dc.date.issued2014-03-20
dc.identifier.citationMalekmohamadi, H. et al (2014) Subjective quality estimation based on neural networks for stereoscopic videos. Consumer Electronics (ICCE), 2014 IEEE International Conference on, Las Vegas, NV, USAen
dc.identifier.urihttp://hdl.handle.net/2086/14604
dc.description.abstractA neural network based technique is proposed to estimate subjective quality of stereoscopic videos. Moreover, to utilize this model for applications where availability of reference signal is not possible to receiver, it applies objective quality of video with minimum dependency on reference signal. This paper presents fast, accurate and consistent subjective quality estimation. Feasibility and accuracy of the proposed technique is thoroughly analyzed with extensive subjective experiments and simulations. Results illustrate that performance measure of 92.3% in subjective quality estimation can be achieved with the proposed technique.en
dc.publisherIEEEen
dc.subjectVideosen
dc.subjectStereo image processingen
dc.subjectEstimationen
dc.subjectTrainingen
dc.subjectMeasurementen
dc.subjectImage color analysisen
dc.subjectVideo recordingen
dc.titleSubjective quality estimation based on neural networks for stereoscopic videosen
dc.typeConferenceen
dc.identifier.doihttps://dx.doi.org/10.1109/ICCE.2014.6775929
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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