Machine Learning for Immersive Content Processing

The importance of remote communication is becoming more and more important in particular after COVID-19 crisis. However, to bring more realistic visual experience, more than the traditional two-dimensional (2D) interfaces we know today is required. Immersive media such as 360-degree, light fields, point cloud, ultra-high definition, high dynamic range, etc. can fill this gap. These modalities, however, face several challenges from capture to display.

Learning based solutions show great promise and significant performance in improving traditional solutions in addressing the challenges. In this special session, we will focus on research works aimed at extending and improving the use of learning based architectures for immersive imaging technologies.