论文标题
AIM 2020挑战视频时间超级分辨率
AIM 2020 Challenge on Video Temporal Super-Resolution
论文作者
论文摘要
现实世界中的视频包含各种动态和动作，这些动态和动作可能会在录制的框架速率较低时看起来不正当不连续。本文报告了视频时间超级分辨率（VTSR）的第二个目标挑战，又称框架插值，重点是拟议的解决方案，结果和分析。从低帧速率（15 fps）视频中，挑战参与者必须通过估计时间中间帧来提交更高框架率（30和60 fps）序列。为了模拟现实世界中的现实和挑战性的动态，我们采用了从手持相机中捕获的多种视频衍生的Reds_vtsr数据集来培训和评估目的。比赛中有68名注册参与者，在最后的测试阶段参加了5支球队（一支撤回）。获胜团队提出了增强的二次视频插值方法，并在VTSR任务上实现了最新的。
Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low. This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis. From low-frame-rate (15 fps) videos, the challenge participants are required to submit higher-frame-rate (30 and 60 fps) sequences by estimating temporally intermediate frames. To simulate realistic and challenging dynamics in the real-world, we employ the REDS_VTSR dataset derived from diverse videos captured in a hand-held camera for training and evaluation purposes. There have been 68 registered participants in the competition, and 5 teams (one withdrawn) have competed in the final testing phase. The winning team proposes the enhanced quadratic video interpolation method and achieves state-of-the-art on the VTSR task.
