实验框架由主机端软件、特定传输带宽的无线网络、数字媒体适配器、VQM 软件、主观视频质量评价系统等组成。
The experience device consists of host software, specified bandwidth wireless network, digital media adapter, VQM software, subjective video quality evaluation system, etc.
实验表明，PSNR的值可以客观地评价经过非编编辑后的高清视频的图像质量，与理论分析保持一致。
Experimental results show that PSNR value can external evaluate through non-linear editing HD video's image quality. The result is consistent with theory analysis.
基于全参考的JND模型是视频图像质量客观评价算法中的一个经典算法。
The JND model is one of classic metrics in objective perceptual video quality research.
图像质量评价是图像和视频处理系统中的基本算法。
Image quality assessment is fundamental importance for image or video processing system.
应用视觉感知实验的方法对移动显示(手机)用LCD的运动图像质量进行了主观评价，研究了帧频、响应时间和视频图像内容对运动图像质量的影响。
Quality of moving images on mobile LCD is estimated by a visual perception experiment to investigate the influence of frame frequency, response time and video content.
由于视频类媒体的复杂性，使用单因素评价视频质量的方法存在重大局限性。
Because of the complexity of video media, there are great limitations to assess video quality with only one factor.
在当前视频处理领域，自动化质量评价技术扮演着重要的地位。
Technology used to automatically assess video quality plays a significant role in video processing areas.
本文提出了通过计算原始视频序列与经过非编系统编辑处理后的序列峰值信噪比(PSNR)的方法，对两种非编系统中常用的高清格式和码率的图像质量进行评价。
An evaluated method is proposed by calculating PSNR between original video sequence and video sequence through two non-linear editing systems from different HD formats and rate in the paper.
本文提出了通过计算原始视频序列与经过非编系统编辑处理后的序列峰值信噪比(PSNR)的方法，对两种非编系统中常用的高清格式和码率的图像质量进行评价。
An evaluated method is proposed by calculating PSNR between original video sequence and video sequence through two non-linear editing systems from different HD formats and rate in the paper.
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