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QoE Modelling of High Dynamic Range Video

Udora, Carl C., Mir, Junaid, Galkandage, Chatura and Fernando, Anil (2019) QoE Modelling of High Dynamic Range Video In: 2019 IEEE International Conference on Consumer Electronics (ICCE), 11-13 Jan 2019, Las Vegas, NV, USA,.

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Abstract

The level of user satisfaction has no standard way of measuring for HDR video content due to the proven difficulty of building HDR quality assessment metrics. To overcome this limitation, Quality of Experience (QoE) modelling of HDR video has been proposed to find a robust and accurate HDR video QoE metric. The proposed model is the first attempt towards assessing and devising a non-reference quality metric for HDR video. It is based on finding the correlation between the HDR video features and the subjective test results. The proposed model achieves a significant correlation score of 0.724 with the subjective results.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Udora, Carl C.
Mir, Junaidj.mir@surrey.ac.uk
Galkandage, Chaturac.galkandage@surrey.ac.uk
Fernando, AnilW.Fernando@surrey.ac.uk
Date : 7 March 2019
Funders : European Commissions Horizon 2020
DOI : 10.1109/ICCE.2019.8662122
Grant Title : CONTENT4ALL project
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Correlation; Mathematical model; Quality assessment; Training; Quality of experience; Measurement; Video recording
Related URLs :
Depositing User : Clive Harris
Date Deposited : 14 Jun 2019 12:46
Last Modified : 14 Jun 2019 12:51
URI: http://epubs.surrey.ac.uk/id/eprint/852000

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