PAR: Improving Video Bitrate Adaptation via Payload-Aware Throughput Prediction
Author:
Affiliation:
1. School of Computer Science, Beijing University of Posts and Telecommunications,Beijing,China
Funder
National Key R&D Program of China
NSFC
111 Project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9859562/9858923/09860000.pdf?arnumber=9860000
Reference22 articles.
1. Neural Adaptive Video Streaming with Pensieve
2. Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale
3. Improving Robustness of DASH Against Network Uncertainty
4. Pantheon: the training ground for internet congestion-control research;yan;2018 USENIX Annual Technical Conference (USENIX ATC 18),2018
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1. TPMI:Accurate Throughput Prediction for Better Bitrate Selection in Adaptive Video Streaming;2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT);2023-12-29
2. A time-weighted bitrate switching method in adaptive video streaming;2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI);2023-05-26
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