Paper Info
Title
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
Abstract
Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos. Recently, methods were proposed to mine spatiotemporal information via utilizing multiple neighboring frames as reference frames. However, these post-processing methods take advantage of adjacent frames directly, but neglect the information of...
Year
DOI
Venue
2021
10.1109/CVPRW53098.2021.00030
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Keywords
DocType
ISSN
Deep learning,Computer vision,Frequency-domain analysis,Conferences,Video compression,Boosting,Spatiotemporal phenomena
Conference
2160-7508
ISBN
Citations 
PageRank 
978-1-6654-4899-4
0
0.34
References 
Authors
12
7
Name
Order
Citations
PageRank
Yi Xu153.10
Minyi Zhao221.37
Jing Liu320.70
Xinjian Zhang420.70
Longwen Gao500.68
Shuigeng Zhou62089207.00
Huyang Sun701.01