AI in Multimedia Communications and Applications(Acronym: AImcA)

Chair: Liang Zhou, Nanjing University of Posts and Telecommunications, China
Co-chairs: Dapeng Wu, Chongqing University of Posts and Telecommunications, China
Han Hu, Beijing Institute of Technology, China
Advisor: Hongkai Xiong, Shanghai Jiao Tong University, China



IG Scope:

AImcA aims to provide a platform for researches and practitioners from academia and industry to exchange research ideas and cross-pollinate, with a focus on emerging AI methods (e.g., deep reinforcement learning, generative adversarial networks, deep transfer learning) and killer multimedia applications (e.g., HDTV, 3DTV, IoT). It will assist the IEEE MMC by organizing and supporting ComSoc-sponsored conferences and workshops, and special issues of relevant journals. The technical topics of AImcA will span, but not limited to the following:

  • Machine learning, data mining and big data analytics in multimedia communications
  • Learning based automated and closed-loop multimedia networking optimization
  • Self-Learning for adaptive multimedia networking protocols and algorithms
  • Resource allocation for multimedia applications using machine learning
  • Deep learning and reinforcement learning in multimedia networking control and management
  • Predictive-aware multimedia networking maintenance and optimization
  • Deep learning based multimedia distribution and transmission
  • Proactive multimedia network monitoring for security and diagnosis
  • User experience-driven virtual or augmented reality (VR/AR) applications
  • Real-time methods and applications for multimedia applications, such as cloud gaming and remote surgery