QoE Modelling of High Dynamic Range Video

Carl C Udora, Junaid Mir, Chathura Galkandage, Anil Fernando: QoE Modelling of High Dynamic Range Video. In: 2019 IEEE International Conference on Consumer Electronics (ICCE), pp. 1–2, Institute of Electrical and Electronics Engineers (IEEE), 2019.

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.

BibTeX (Download)

@inproceedings{surrey852000,
title = {QoE Modelling of High Dynamic Range Video},
author = {Carl C Udora and Junaid Mir and Chathura Galkandage and Anil Fernando},
url = {http://epubs.surrey.ac.uk/852000/},
doi = {10.1109/ICCE.2019.8662122},
year  = {2019},
date = {2019-03-01},
booktitle = {2019 IEEE International Conference on Consumer Electronics (ICCE)},
journal = {Proceedings of the 2019 IEEE International Conference on Consumer Electronics (ICCE)},
pages = {1--2},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
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.},
keywords = {Correlation, Mathematical model, Measurement, Quality assessment, Quality of experience, Training, University of Surrey, Video recording},
pubstate = {published},
tppubtype = {inproceedings}
}