Automated Real Time Video Quality Measurement Using Levenberg-Marquardt Backpropagation Algorithm

被引：1

作者：

Archana, P. ^{[1
]}

Kulkarni, Subhash ^{[2
]}

机构：

[1] VNR VJIET, Dept ECE, Hyderabad, Andhra Pradesh, India

[2] PESIT, Dept ECE, Bangalore, Karnataka, India

来源：

2014 FIFTH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP 2014) | 2014年

关键词：

video quality; subjective method; peak signal to noise ratio; neural network; mean opinion score; quality database;

D O I：

10.1109/ICSIP.2014.61

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

with high volumes of Multimedia data transmission becoming a reality, most of the networks are capable of meeting only bare requirements of video information transfer. An important aspect of video transfer is to deal with User's satisfaction in terms of quality of service. Hence new methods are being proposed to meet user's criteria. In this paper a frame work has been described based on Artificial Neural Networks for real time video quality assessment.

引用

页码：348 / 353

页数：6