网络视频质量包层评估模型研究

宋佳润; 苏洪磊; 杨付正

doi:10.7652/xjtuxb201306007

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网络视频质量包层评估模型研究

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- 网络视频质量包层评估模型研究
- Packet-Layer Assessment Model for Networked Video Quality
- 西安交通大学学报 2013年47卷第6期页码：37-43
- 作者机构：
  
  西安电子科技大学综合业务网理论及关键技术国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
  
  : 2012-09-17。作者简介: 宋佳润(1987—),男,博士生;杨付正(通信作者),男,教授。基金项目: 国家自然科学基金资助项目(60902081,60902052);国家国际科技合作专项资助项目(2010DFB10570);中央高校基本科研业务费专项资金资助项目(72004885);高等学校学科创新引智计划资助项目(B08038)
- DOI：10.7652/xjtuxb201306007
  中图分类号： TN914.42
- 网络首发：2013-06-10，
  
  纸质出版：2013
- 稿件说明：
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宋佳润, 苏洪磊, 杨付正. 网络视频质量包层评估模型研究[J]. 西安交通大学学报, 2013,47(6):37-43.

Packet-Layer Assessment Model for Networked Video Quality[J]. 2013, 47(6): 37-43.
宋佳润, 苏洪磊, 杨付正. 网络视频质量包层评估模型研究[J]. 西安交通大学学报, 2013,47(6):37-43. DOI： 10.7652/xjtuxb201306007.

Packet-Layer Assessment Model for Networked Video Quality[J]. 2013, 47(6): 37-43. DOI： 10.7652/xjtuxb201306007.

摘要

为了实现对网络视频质量的实时监测

提出一种包层视频质量评估模型。该模型无需对视频载荷信息进行解码

只通过分析视频包头信息评估网络视频的质量。首先

分析包头信息获取压缩码率、帧率、每帧编码比特数、丢包数目和丢包位置等信息

利用压缩码率和I帧的平均编码比特数预测视频内容的运动特性

在此基础上结合视频帧编码类型及视频内容运动特性预测视频流的编码失真和丢包失真并最终建立包层质量评估模型。实验结果表明

相比国际标准G.1070模型和G.1070增强模型中的视频质量评价方法

通过该模型得到的视频质量与视频主观质量的皮尔森相关系数分别平均提高了0.087和0.065

同时均方根误差降低了0.219和0.164。该模型具有良好的性能

可以准确地评价网络视频质量。

Abstract

A packet-layer assessment model for video quality is proposed to realize real-time quality monitoring for networked video. The model utilizes only information provided by packet headers without resorting to any payload information. The information

including the bit-rate

the frame rate

the coded bits of each frame

the number of lost packets

and the positions of lost packets

is obtained or estimated by analyzing limited information from packet header. Then

the temporal complexity factor is estimated using the bit-rate and the average coded bits of I-frames. The estimated temporal complexity factor and the frame type are incorporated to evaluate the distortion due to compression first and the distortion due to packet loss afterwards

and the quality for networked video is then generated. Experimental results and comparisons with G.1070 and Enhanced G.1070 models show that the proposed model gets an increment of about 0.087 and 0.065 in PCC

and a decrement of about 0.219 and 0.164 in RMSE

respectively. The proposed model can be used to accurately estimate the networked video quality on account of its advanced performance.

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references

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