关于超分辨率和提高压缩视频质量的挑战:数据集、方法和结果 (NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results)

Ren Yang,Radu Timofte,Meisong Zheng,Qunliang Xing,Minglang Qiao,Mai Xu,Lai Jiang,Huaida Liu,Ying Chen,Youcheng Ben,Xiao Zhou,Chen Fu,Pei Cheng,Gang Yu,Junyi Li,Renlong Wu,Zhilu Zhang,Wei Shang,Zhengyao Lv,Yunjin Chen,Mingcai Zhou,Dongwei Ren,Kai Zhang,Wangmeng Zuo,Pavel Ostyakov,Vyal Dmitry,Shakarim Soltanayev,Chervontsev Sergey,Zhussip Magauiya,Xueyi Zou,Youliang Yan,Pablo Navarrete Michelini,Yunhua Lu,Diankai Zhang,Shaoli Liu,Si Gao,Biao Wu,Chengjian Zheng,Xiaofeng Zhang,Kaidi Lu,Ning Wang,Thuong Nguyen Canh,Thong Bach,Qing Wang,Xiaopeng Sun,Haoyu Ma,Shijie Zhao,Junlin Li,Liangbin Xie,Shuwei Shi,Yujiu Yang,Xintao Wang,Jinjin Gu,Chao Dong,Xiaodi Shi,Chunmei Nian,Dong Jiang,Jucai Lin,Zhihuai Xie,Mao Ye,Dengyan Luo,Liuhan Peng,Shengjie Chen,Xin Liu,Qian Wang,Xin Liu,Boyang Liang,Hang Dong,Yuhao Huang,Kai Chen,Xingbei Guo,Yujing Sun,Huilei Wu,Pengxu Wei,Yulin Huang,Junying Chen,Ik Hyun Lee,Sunder Ali Khowaja,Jiseok Yoon

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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数据集，又称为资料集、数据集合或资料集合，是一种由数据所组成的集合。
Data set（或dataset）是一个数据的集合，通常以表格形式出现。每一列代表一个特定变量。每一行都对应于某一成员的数据集的问题。它列出的价值观为每一个变量，如身高和体重的一个物体或价值的随机数。每个数值被称为数据资料。对应于行数，该数据集的数据可能包括一个或多个成员。