This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This challenge includes three tracks. Track 1 aims at enhancing the videos compressed by HEVC at a fixed QP. Track 2 and Track 3 target both the super-resolution and quality enhancement of HEVC compressed video. They require x2 and x4 super-resolution, respectively. The three tracks totally attract more than 600 registrations. In the test phase, 8 teams, 8 teams and 12 teams submitted the final results to Tracks 1, 2 and 3, respectively. The proposed methods and solutions gauge the state-of-the-art of super-resolution and quality enhancement of compressed video. The proposed LDV 2.0 dataset is available at https://github.com/RenYang-home/LDV_dataset. The homepage of this challenge (including open-sourced codes) is at https://github.com/RenYang-home/NTIRE22_VEnh_SR.
翻译：本文回顾了2022年关于超分辨率和压缩视频质量提高的NTIRE 2022挑战,在这一挑战中,我们提出了LDV 2.0数据集,其中包括LDV数据集(240个视频)和95个额外视频,包括三个轨道。第1轨旨在加强HEVC在一个固定的QP第2轨和第3轨中压缩的视频,其目标包括HEVC压缩视频的超级分辨率和质量提高。它们分别需要x2和x4超级分辨率。这三轨完全吸引了600多个注册。在测试阶段,8个团队、8个团队和12个团队分别向第1、2和3轨提交了最后结果。拟议方法和解决方案衡量超分辨率的现状和压缩视频的质量提高。拟议的LDV 2.0数据集可在https://github.com/RenYang-home/LDV_dataset查阅。这项挑战的首页(包括开放源代码)在https://github.com/RenYang-home_NTIS_NSR.
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