Spatio-Temporal Activity based Tiling for Panorama Streaming

In panorama streaming an arbitrary Region-of-Interest (RoI) of a high-resolution video is transmitted, allowing users to navigate interactively within the videos. Transmitting the whole video becomes unfeasible due to the required high bitrates and sending a single video per user, which is encoded for that specific user (i.e. its RoI), has scalability issues. Tile based panoramic streaming overcomes the mentioned drawbacks by allowing users to receive a set of tiles that match their RoI instead of the whole set of tiles. However, optimal tiling -- so that the transmitted bitrate of the RoI content is minimized - is content dependent. In this paper, we propose a model based on a spatio-temporal activity metric so that optimization of the tiling process can be performed in a low complexity manner.