An Innovative Machine-Learning-Based Scheduling Solution for Improving Live UHD Video Streaming Quality in Highly Dynamic Network Environments.
Ioan-Sorin ComsaGabriel-Miro MunteanRamona TrestianPublished in: IEEE Trans. Broadcast. (2021)
Keyphrases
- highly dynamic
- video streaming
- streaming services
- resource utilization
- rate adaptation
- machine learning
- peer to peer
- network bandwidth
- network resources
- service oriented
- transmission rate
- multimedia
- video delivery
- video streams
- user perceived
- video quality
- rate control
- low complexity
- communication networks
- video on demand
- mobile ad hoc networks
- high quality
- quality of service
- wireless networks
- scalable video
- real time
- transport protocol
- response time
- network conditions
- multiple description coding
- quality assessment
- video content
- user experience
- web services
- packet loss