Reparo: QoE-Aware Live Video Streaming in Low-Rate Networks by Intelligent Frame Recovery-Reference-Cited by-同舟云学术

Reparo: QoE-Aware Live Video Streaming in Low-Rate Networks by Intelligent Frame Recovery

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Wang Fulin¹^ORCID,Li Qing²^ORCID,Shi Wanxin¹^ORCID,Tyson Gareth³^ORCID,Jiang Yong¹^ORCID,Ma Lianbo⁴^ORCID,Zhang Peng⁵^ORCID,Lan Yulong⁵^ORCID,Li Zhicheng⁵^ORCID

Affiliation:

1. Tsinghua Shenzhen International Graduate School & Peng Cheng Laboratory, Shenzhen, China

2. Peng Cheng Laboratory, Shenzhen, China

3. Hong Kong University of Science and Technology (GZ), Guangzhou, China

4. Northeastern University, Shenyang, China

5. Tencent Cloud, Shenzhen, China

Funder

Major Key Project of PCL

National Key R&D Program of China

National Natural Science Foundation of China

Shenzhen Key Lab of Software Defined Networking

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3613441

Reference58 articles.

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2. Motion-Based Rate Adaptation in WebRTC Videoconferencing Using Scalable Video Coding

3. A Database and Evaluation Methodology for Optical Flow

4. Thomas Brox and Jitendra Malik . 2010. Large displacement optical flow: descriptor matching in variational motion estimation . IEEE transactions on pattern analysis and machine intelligence, Vol. 33 , 3 ( 2010 ), 500--513. Thomas Brox and Jitendra Malik. 2010. Large displacement optical flow: descriptor matching in variational motion estimation. IEEE transactions on pattern analysis and machine intelligence, Vol. 33, 3 (2010), 500--513.

5. Higher quality live streaming under lower uplink bandwidth

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