Paper submission website is now open

Please submit your paper online through:

Instructions: prospective authors are invited to submit an electronic version of full papers, in PDF format, up to six (6) printed pages in length (double column ACM style format) at the workshop Web site. Authors must prepare their papers in a way that preserves the anonymity of the authors. Please do NOT include the author names under the title.

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.