Title
A Generative Compression Framework For Low Bandwidth Video Conference
Abstract
Video conferences introduce a new scenario for video transmission, which focuses on keeping the fidelity of faces even in the low bandwidth network environment. In this work, we propose VSBNet, one of the frameworks to utilize face landmarks in video compression. Our method utilizes the adversarial learning to reconstruct origin frames from the landmarks. To recover more details and keep the consi...
Year
DOI
Venue
2021
10.1109/ICMEW53276.2021.9455985
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Keywords
DocType
ISSN
Visualization,Sensitivity,Conferences,Bit rate,Redundancy,Mouth,Bandwidth
Conference
2330-7927
ISBN
Citations 
PageRank 
978-1-6654-4989-2
1
0.37
References 
Authors
0
6
Name
Order
Citations
PageRank
Dahu Feng110.37
Yan Huang233.03
Yiwei Zhang35212.65
Jun Ling411.72
Anni Tang510.37
Li Song610.37