Intern Ai-Driven Energy-Aware Adaptive Video Streaming From Client-Side Optimization To End-To-End Collaborative Reinforcement Learning H/F

Summary The objective of this internship is to investigate how Reinforcement Learning (RL) techniques can improve the energy efficiency of adaptive video streaming while maintaining a high Quality of Experience (QoE) for end users.

The study will consider optimization opportunities across the entire streaming chain, from video encoding and bitrate-ladder generation to content delivery through Multi-CDN architectures [1], client-side Adaptive Bitrate (ABR) selection, decoding, and display.

Build…