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Video Super-Resolution and Caching—An Edge-Assisted Adaptive Video Streaming Solution

  • Published:2021-12 Issue:4 Volume:67 Page:799-812
  • ISSN:0018-9316
  • Container-title:IEEE Transactions on Broadcasting
  • language:
  • Short-container-title:IEEE Trans. on Broadcast.

Author:

Zhang AoyangORCID,Li QingORCID,Chen YingORCID,Ma Xiaoteng,Zou Longhao,Jiang Yong,Xu Zhimin,Muntean Gabriel-MiroORCID

Funder

Guangdong Province Key Area RD Program

National Natural Science Foundation of China

Project “PCL Future Greater-Bay Area Network Facilities for Large-Scale Experiments and Applications”

Shenzhen Key Lab of Software Defined Networking

Science Foundation Ireland’s

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward High-Quality Low-Latency 360° Video Streaming With Edge–Client Collaborative Caching and Super-Resolution;IEEE Internet of Things Journal;2024-09-01

2. Video streaming on fog and edge computing layers: A systematic mapping study;Internet of Things;2024-09

3. A Survey of Deep Learning Video Super-Resolution;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

4. EDQD: An Edge-Driven Multi-Agent DRL Solution for Improving Joint QoE in DASH-based Rich Media Content Delivery;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19

5. Deep Compressed Video Super-Resolution With Guidance of Coding Priors;IEEE Transactions on Broadcasting;2024-06
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