Proactive optimization of real-time video

In this paper, we introduce a new strategy for processing real-time video packets in programmable network nodes or active routers. We first discuss challenges in transmission of video streams over bandwidth-limited networks, followed by the active approach as an advance for streaming real-time video. In our model, each programmable node (or router) makes admission decision for video frames based on evaluating their potential value. Frames "bid" their expected distortion price and the node chooses the best ones first until resource is fully utilised. We also analyse complexity and overhead to show its clear benefit against other known strategies. Simulation experiments demonstrate consistent outperformance of the framework in comparison to Lagrangian-based rate-distortion optimized schemes.