No reference video quality assessment model based on eye tracking datas

DOI

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.

Copyright

© 2014, 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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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  - Proceedings of the 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SP  - 97
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.22
DO  - 10.2991/icieac-14.2014.22
ID  - Jia2014/03
ER  -