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

Author:

Wang Fulin1ORCID,Li Qing2ORCID,Shi Wanxin1ORCID,Tyson Gareth3ORCID,Jiang Yong1ORCID,Ma Lianbo4ORCID,Zhang Peng5ORCID,Lan Yulong5ORCID,Li Zhicheng5ORCID

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

Reference58 articles.

1. Measurement Study of Netflix, Hulu, and a Tale of Three CDNs

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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