BONES: Near-Optimal Neural-Enhanced Video Streaming
Description
BONES is a Neural-Enhanced Streaming (NES) control algorithm that jointly manages network and computational resources to maximize the quality of experience (QoE) for users. It formulates NES as a Lyapunov optimization problem and solves it online with near-optimal performance. BONES increases QoE by 5% to 20% over state-of-the-art algorithms with minimal overhead, making it a significant advancement in video streaming technology.
Resource details
- Category path
- General Tools
- Classification
- Not yet classified
BONES: Near-Optimal Neural-Enhanced Video Streaming is cataloged in General Tools. Its topics include video streaming, neural-enhancement, QoE, Lyapunov-optimization, and NES.
URL
Tags
Related resources
- Towards Practical Real-Time Neural Video Compression (DCVC-RT)CVPR 2025 paper on a neural video codec achieving 125fps at 1080p encode/decode with 21% bitrate savings versus H.266/VTM.