Automatic video quality assessment and optimization of mooc platform using resnet

HIGHLIGHTS

• What: Specifically the authors investigate the potential applications of ResNet for video clarity fluency stability anomaly detection and automatic parameter adjustment and propose corresponding automatic optimization methods. Through experimental validation the authors show the effectiveness of ResNet in MOOC video quality assessment and optimization. The research in this paper aims to fully explore the outstanding performance of ResNet as a deep learning framework in computer vision and its potential value in the automatic assessment of MOOC video quality. The authors aim to address the challenges of manually evaluating and optimizing video quality by enabling automated video quality . . .
  

   

  

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