No-reference High Definition Video Quality Assessment based on BP Neural Network

被引：0
|
作者：
Xu, Jiangbo [1 ]
Jiang, Xiuhua [1 ]
机构：
[1] Commun Univ China, Informat Engn Sch, Beijing, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 1 | 2011年
关键词：
no-reference video quality assessment; Back Propagation neural network; region of interest; feature extractor;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A no-reference high definition video quality assessment model is presented using Back Propagation (BP) neural network. Firstly, the paper introduces human visual region of interest to the system. Secondly extracts several temporal and spatial features from the region of interest. And then a no-reference video quality assessment model is learned by training a BP neural network. Experimental results on real videos are given to demonstrate the performance of the proposed algorithm.
引用
收藏
页码：384 / 387
页数：4
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