论文标题
AIM 2019挑战视频时间超级分辨率：方法和结果
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results
论文作者
论文摘要
视频包含各种类型和优势，这些动作可能会在记录的帧速率较低时看起来不自然地不连续。本文回顾了视频时间超分辨率（框架插值）的第一个目标挑战，重点是拟议的解决方案和结果。从低帧速率（15 fps）视频序列中，挑战参与者通过估计时间中间帧来提交更高的装置（60 fps）视频序列。我们采用了来自手持相机中捕获的不同视频的REDS VTSR数据集来培训和评估目的。比赛有62名注册参与者，共有8支球队参加了最后的测试阶段。挑战获奖方法实现了视频时间上级的最新方法。
Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challenge on video temporal super-resolution (frame interpolation) with a focus on the proposed solutions and results. From low-frame-rate (15 fps) video sequences, the challenge participants are asked to submit higher-framerate (60 fps) video sequences by estimating temporally intermediate frames. We employ the REDS VTSR dataset derived from diverse videos captured in a hand-held camera for training and evaluation purposes. The competition had 62 registered participants, and a total of 8 teams competed in the final testing phase. The challenge winning methods achieve the state-of-the-art in video temporal superresolution.
