2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDSMR-1.8
Paper Title VIDEO QUALITY MEASUREMENT FOR BUFFERING TIME BASED ON EEG FREQUENCY FEATURE
Authors Zhe Li, Bingrui Geng, Xiaoming Tao, Yiping Duan, Dingcheng Gao, Shuzhan Hu, Tsinghua University, China
SessionSMR-1: Image and Video Quality Assessment
LocationArea F
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Sensing, Modeling, and Representation: Perception and quality models for images & video
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Currently, user-based quality of experience (QoE) measurement methods (e.g., mean opinion score, MOS) are often employed. However, their results might be affected by human subjective experience and thoughts. Physiological measurement methods can overcome these disadvantages. In the field of video quality models, the video buffering problem caused by poor network conditions is an important factor that affects QoE. In this paper, a reasonable physiological measurement method, electroencephalography (EEG), is proposed to quantitatively analyze QoE changes when users face different levels of video buffering time. By extracting the band power of EEG signals as the feature and analyzing the correlation and variance, a more objective buffering time EEG (BT-EEG) score model of video quality under the single-factor video buffering time is established, which solves the problem of uneven subjective data quality.