Abstract
This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 |
Publisher | IEEE Computer Society |
Pages | 1985-1995 |
Number of pages | 11 |
ISBN (Electronic) | 9781728125060 |
DOIs | |
Publication status | Published - Jun 2019 |
Externally published | Yes |
Event | 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 - Long Beach, United States Duration: Jun 16 2019 → Jun 20 2019 |
Publication series
Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
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Volume | 2019-June |
ISSN (Print) | 2160-7508 |
ISSN (Electronic) | 2160-7516 |
Conference
Conference | 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 |
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Country/Territory | United States |
City | Long Beach |
Period | 6/16/19 → 6/20/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus Subject Areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering