Proceedings of the International Conference on Computer Information Systems and Industrial Applications

No Reference Video Quality Metric for 4K-UHD Videos Based on H.264/AVC Bitstream Features

Authors
J.B Xu, X.H Jiang
Corresponding Author
J.B Xu
Available Online June 2015.
DOI
10.2991/cisia-15.2015.22How to use a DOI?
Keywords
4K Ultra High Definition; subjective video quality assessment; no reference; objective video quality assessment; compressed domain
Abstract

With the wide-spread use of digital videos, quality considerations have become essential, and industry demand for video quality measurement standards is rising. In this paper, we proposed a no reference video quality metric for 4K-UHD videos in the compressed domain. As video coding parameters which can reflect the degree of distortion caused by compression can be extracted in compressed domain, we firstly extracted some feature parameters from 4K-UHD compressed videos. Then the parameters were applied to train the proposed model with the corresponding subjective score using multi-linear algorithm. The experimental results show that our model can achieve a good performance for the 4K-UHD video streams with the subjective score.

Copyright
© 2015, 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 International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/cisia-15.2015.22
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.22How to use a DOI?
Copyright
© 2015, 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  - J.B Xu
AU  - X.H Jiang
PY  - 2015/06
DA  - 2015/06
TI  - No Reference Video Quality Metric for 4K-UHD Videos Based on H.264/AVC Bitstream Features
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 83
EP  - 86
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.22
DO  - 10.2991/cisia-15.2015.22
ID  - Xu2015/06
ER  -