Proceedings of the 2nd International Conference on Information, Electronics and Computer

No reference video quality assessment model based on eye tracking datas

Authors
Lixiu Jia, Xuefei Zhong, Yan Tu
Corresponding Author
Lixiu Jia
Available Online March 2014.
DOI
https://doi.org/10.2991/icieac-14.2014.22How to use a DOI?
Keywords
No reference Video quality assessment , blurring , blocking,H.264, Region of interest(ROI),eye tracking.
Abstract
This paper describes a novel no-reference video quality assessment (VQA) model which is based on eye tracking datas for H.264 coding videos.This assessment model is based on the blur and the blockiness. The eye tracking datas were used to the no-reference video quality assesment.The experimental results show that the assessment model has better performance in terms of both the prediction accuracy and the computation complexity.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Information, Electronics and Computer
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-90-78677-99-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/icieac-14.2014.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lixiu Jia
AU  - Xuefei Zhong
AU  - Yan Tu
PY  - 2014/03
DA  - 2014/03
TI  - No reference video quality assessment model based on eye tracking datas
BT  - 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.22
DO  - https://doi.org/10.2991/icieac-14.2014.22
ID  - Jia2014/03
ER  -