Live transcoder that self-adjusts to process only the video files that will be requested by the viewers
Investigating the feasibility of using neural networks to reduce video processing overhead in HTTP-based live streaming is the objective of Jonathan Hedin’s Master Thesis project. A project that will be performed together with Eyevinn Technology in Stockholm as an R&D Sustainability project.