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No-reference video quality assessment model based on eye tracking datas

被引：0
|
作者：
Jia, Lixiu [1 ]
Zhong, Xuefei [1 ]
Tu, Yan [1 ]
机构：
[1] Southeast Univ, Sch Elect Sci & Engn, Display R&D Ctr, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONICS AND COMPUTER | 2014年 / 59卷
关键词：
No reference Video quality assessment; blurring; blocking; H.264; Region of interest(ROI); eye tracking;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：97 / 100
页数：4
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