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NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
- Source :
- CVPR Workshops, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
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.<br />NA
- Subjects :
- Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Image resolution
Image restoration
Video signal processing
Track (rail transport)
Superresolution
Optical resolving power
Image super
0202 electrical engineering, electronic engineering, information engineering
Bicubic interpolation
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Focus (optics)
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Accession number :
- edsair.doi.dedup.....21aa4919a529399d433039c1e9326c2a