ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming-Reference-Cited by-同舟云学术

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ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks
language:
Short-container-title:

Author:

Wu Ruoyu¹^ORCID,Bao Wei¹^ORCID,Ge Liming¹^ORCID,Zhou Bing Bing¹^ORCID

Affiliation:

1. The University of Sydney, Sydney, NSW, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616391.3622763

Reference34 articles.

1. Analysis and design of the google congestion control for web real-time communication (WebRTC)

2. BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

3. Dash.js. 2021. Dash.js. https://github.com/Dash-Industry-Forum/dash.js/wiki/. Accessed: 2023-06--19. (2021). Dash.js. 2021. Dash.js. https://github.com/Dash-Industry-Forum/dash.js/wiki/. Accessed: 2023-06--19. (2021).

4. Hamilton Emmons and George Vairaktarakis . 2012. Flow shop scheduling: theoretical results, algorithms, and applications . Vol. 182 . Springer Science & Business Media . Hamilton Emmons and George Vairaktarakis. 2012. Flow shop scheduling: theoretical results, algorithms, and applications. Vol. 182. Springer Science & Business Media.

5. Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning

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