PV 2019 Special Session on Machine Learning for Video Streaming

Recent advances in machine learning (ML) techniques have found tremendous success in many applications, ranging from speech recognition to natural language processing to computer vision. The powerful toolset of ML can also help solve various optimization-based problems in video streaming. Research challenges include, but are not limited to:

  • Learning and prediction of quality-of-experience (QoE) metrics
  • Design of intelligent transport protocols that can self-adapt to different devices or deployment environments
  • Automation of network policies for QoE optimization
  • General applicability of reinforcement learning

Prospective authors are recommended to submit papers on the respective topics above.