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A Video Quality Assessment Method for VoIP Applications Based on User Experience

机译：基于用户体验的VoIP应用视频质量评估方法

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摘要

An objective video quality assessment method is proposed to evaluaternthe video quality in voice over internet protocol (VoIP) applications under networkrndistortion. The fluency and the clarity of videos are two main parts of the factors thatrnaffect user experience, thus the method evaluates these two parts to assess therndistortions of videos in VoIP applications caused by codec and packet loss. Thernclarity of the video is measured by calculating block artifacts and frame blurring.rnVideo blocking artifacts are measured by splitting the picture into small blocks andrncalculating the difference of the pixels around each border while video blurring isrnmeasured by getting edge information through Sobel operator, and counting therngradient histogram. Then the video clarity can be measured by a weighted sum ofrnblock artifacts score and blurring score using linear regression. The scores are alsornnormalized in order to eliminate the impact of different video contents. The videornfluency is calculated by counting the wrong frame in the video. Finally, a weightedrnsum of video clarity score and video fluency score can represent the quality of thernvideo. The experimental results show that the objective quality scores have a strongrncorrelation with the subjective quality scores, and the algorithm concludes two partsrnof user experience other than just image quality, which is more comprehensive andrnit can be used in video quality assessment in VoIP applications.
机译：提出了一种客观的视频质量评估方法，以评估网络失真下VoIP语音应用中的视频质量。视频的流畅性和清晰度是影响用户体验的两个主要因素，因此该方法对这两个部分进行评估，以评估VoIP应用中由编解码器和数据包丢失引起的视频失真。通过计算块伪像和帧模糊来测量视频的清晰度。通过将图片分成小块并计算每个边界周围的像素差，来测量视频块伪像；通过通过Sobel算子获取边缘信息并计数梯度来测量视频模糊。直方图然后，可以使用线性回归通过块伪影得分和模糊得分的加权和来测量视频清晰度。分数也被标准化以消除不同视频内容的影响。通过计算视频中的错误帧来计算视频流度。最后，视频清晰度分数和视频流利度分数的加权和可以代表视频的质量。实验结果表明，客观质量得分与主观质量得分具有很强的相关性，该算法得出的结论是，除了图像质量外，还有两个部分用户体验，可以更全面，更全面地用于VoIP应用中的视频质量评估。

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  • 来源
    《Sensing and imaging》 |2017年第1期|12.1-12.14|共14页
  • 作者

    Zedong Wang; Jing Wang; Fei Wang; Chengcai Li; Zesong Fei; Tariq Rahim;

  • 作者单位

    School of Information and Electronics, Beijing Institute of Technology, Beijing, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    VoIP; Video quality assessment; Video quality; Video clarity; Video fluency;

    机译：VoIP;视频质量评估;视频质量;视频清晰度;视频流利度;

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