PhD Forum: Encrypted Traffic Analysis & Content Awareness of 360-Degree Video Streaming Optimization

360°/VR videos are getting popular. However, these videos demand high bandwidth and processing power at the end devices. Though, viewport (VP) aware streaming can reduce the amount of data transmitted by streaming a limited portion of the frame covering the current user viewport, popular content providers still transfer the entire panoramic frame which demands more bandwidth. Also, these mechanisms, which partition the frames into a fixed number of tiles can not provide a finer boundary to cover the user VP, causing high pixel redundancy. To address these issues, first, we propose an offline and near-realtime 360° vs normal video classification tool which is further extended to analyse 360° video streaming distribution in the wild. Secondly, we propose a content aware 360° video partitioning tool leveraging a computational geometric approach. Our initial results show the feasibility of both proposals.