2021年关于提高压缩视频质量的挑战:方法和结果 (NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results)

Ren Yang,Radu Timofte,Jing Liu,Yi Xu,Xinjian Zhang,Minyi Zhao,Shuigeng Zhou,Kelvin C. K. Chan,Shangchen Zhou,Xiangyu Xu,Chen Change Loy,Xin Li,Fanglong Liu,He Zheng,Lielin Jiang,Qi Zhang,Dongliang He,Fu Li,Qingqing Dang,Yibin Huang,Matteo Maggioni,Zhongqian Fu,Shuai Xiao,Cheng li,Thomas Tanay,Fenglong Song,Wentao Chao,Qiang Guo,Yan Liu,Jiang Li,Xiaochao Qu,Dewang Hou,Jiayu Yang,Lyn Jiang,Di You,Zhenyu Zhang,Chong Mou,Iaroslav Koshelev,Pavel Ostyakov,Andrey Somov,Jia Hao,Xueyi Zou,Shijie Zhao,Xiaopeng Sun,Yiting Liao,Yuanzhi Zhang,Qing Wang,Gen Zhan,Mengxi Guo,Junlin Li,Ming Lu,Zhan Ma,Pablo Navarrete Michelini,Hai Wang,Yiyun Chen,Jingyu Guo,Liliang Zhang,Wenming Yang,Sijung Kim,Syehoon Oh,Yucong Wang,Minjie Cai,Wei Hao,Kangdi Shi,Liangyan Li,Jun Chen,Wei Gao,Wang Liu,Xiaoyu Zhang,Linjie Zhou,Sixin Lin,Ru Wang

from arxiv, Corrected the MOS values in Table 2

This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Diverse Video (LDV) dataset is employed. The challenge has three tracks. Tracks 1 and 2 aim at enhancing the videos compressed by HEVC at a fixed QP, while Track 3 is designed for enhancing the videos compressed by x265 at a fixed bit-rate. Besides, the quality enhancement of Tracks 1 and 3 targets at improving the fidelity (PSNR), and Track 2 targets at enhancing the perceptual quality. The three tracks totally attract 482 registrations. In the test phase, 12 teams, 8 teams and 11 teams submitted the final results of Tracks 1, 2 and 3, respectively. The proposed methods and solutions gauge the state-of-the-art of video quality enhancement. The homepage of the challenge: https://github.com/RenYang-home/NTIRE21_VEnh

翻译：本文回顾了国家电视广播电视网在提高压缩视频质量方面的第一个挑战,重点是拟议的方法和结果;在这一挑战中,采用了新的大型多样化视频数据集(LDV),挑战分为三个轨道。第一和第二轨道的目的是加强由欧洲电视广播电视中心在固定的QP上压缩的视频,而第三轨道的目的是加强x265在固定的位速率上压缩的视频。此外,提高第1和第3轨目标的质量以提高忠诚度(PSNR),提高第2轨目标提高概念质量。这三轨完全吸引了482个登记。在测试阶段,12个小组、8个小组和11个小组分别提交了第1、2和3轨的最后结果。拟议方法和解决办法衡量提高视频质量的状况。挑战的主页:https://github.com/RenYang-home/NTIRE21_Venh。