A Novel Subjective Perception Quality Evaluation Method of Video Based on EEG Signals

Traditional subjective QoE evaluation methods mainly rely on MOS ratings. However, the MOS ratings rely heavily on users subjective behavior feedback and are easily affected by emotional management, educational background and arbitrariness. The rating cannot show the accurate real-time quality of videos. With various wireless network communication technology, multimedia display technology and the continuous development of intelligent terminals, accurate assessment of the user experience is even more important. EEG signals, as electrophysiological signals that can reflect the thinking activities of human neural centers, can be quantified effectively without bringing into the evaluation of higher cognitive subjective bias, which is expected to more accurately measure users quality of experience. Therefore, aiming at the video quality degradation caused by the interaction between video stutter and video content, this paper proposes a method to measure video quality characterized by human EEG signal changes. The validity of QoE evaluation method based on EEG signal is proved by experimental data analysis.