Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Comparison of Human Opinion Scores in Subjective Video Quality Test

Authors
Yiwen Xu, Qi Li, Xia Li, Ying Fang
Corresponding Author
Yiwen Xu
Available Online March 2017.
DOI
10.2991/amcce-17.2017.116How to use a DOI?
Keywords
Video coding, high ef ciency video coding (HEVC), H.265, video quality assessment (VQA), mean opinion score (MOS)
Abstract

The new MPEG-H/H.265 High Ef ciency Video Coding(HEVC) standard greatly promotes the video compression ef ciency and also creates new opportunities and challenges in perceptual video coding. To measure the perceptual quality, Mean Opinion Score (MOS) is obtained by averaging human scores in subjective test. But its value cannot necessarily represent exact difference between the human opinions. To solve this problem, interval MOS (iMOS) method, which employs the distribution information of human scores to measure the difference between MOS values with deviations, is introduced. Furthermore, the feasibility of using iMOS to evaluate compressed video quality is confirmed by experiments.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.116
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.116How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yiwen Xu
AU  - Qi Li
AU  - Xia Li
AU  - Ying Fang
PY  - 2017/03
DA  - 2017/03
TI  - Comparison of Human Opinion Scores in Subjective Video Quality Test
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 672
EP  - 676
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.116
DO  - 10.2991/amcce-17.2017.116
ID  - Xu2017/03
ER  -