No-Reference Image Quality Assessment Based on SVM for Video Conferencing System

被引：0

作者：

Yu, Liangqiang ^{[1
]}

Tian, Xin ^{[1
]}

Li, Tao ^{[1
]}

Tian, Jinwen ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Peoples R China

来源：

NETWORK COMPUTING AND INFORMATION SECURITY | 2012年 / 345卷

关键词：

No-reference; Video Conference; SVM; Image Quality Assessment;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional image quality assessment method is mainly subjective assessment method, that is to say, the human eye is used to observe and judge the quality of the image. This paper proposes a no-reference image quality assessment method and introduces the support vector machine (SVM) into image quality assessment of the video conferencing system. A SVM classifier is employed to distinguish the image sequences of poor quality from the good ones. The experimental results show that the proposed method has good performance.

引用

页码：555 / 560

页数：6

共 9 条

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