MSU SR-QA Dataset Dataset

Our dataset was made of videos from MSU Video Upscalers Benchmark Dataset, MSU Video Super-Resolution Benchmark Dataset and MSU Super-Resolution for Video Compression Benchmark Dataset. Dataset consists of real videos (were filmed with 2 cameras), video games footages, movies, cartoons, dynamic ads.

How we brought our dataset closer to completeness?
* The dataset covers a large number of use cases in the field of SR due to the large number of content types
* The dataset contains videos with completely different resolutions, FPS values: 8, 24, 25, 30, 60, as well as high and low spatio-temporal complexity
* Distorted videos were obtained using 46 SR methods, some of them were preprocessed with 5 codecs: aomenc, vvenc, x264, x265, uavs3es with different bitrates and qp values
* The dataset was manually checked for redundancy

Videos from benchmarks are FullHD video crops, since the subjective comparison was made on crops. Therefore, the resolution of all videos in the received dataset is low.

本数据集由MSU视频升级基准数据集、MSU视频超分辨率基准数据集以及MSU视频压缩超分辨率基准数据集中的视频构成。该数据集包含实际拍摄的视频（使用两台摄像机拍摄）、游戏视频片段、电影、动画片以及动态广告。为了使我们的数据集更加完善，我们采取了以下措施：* 本数据集涵盖SR领域大量应用场景，得益于其包含丰富的内容类型；* 数据集中包含分辨率、帧率（8、24、25、30、60帧/秒）以及时空复杂度完全不同的视频；* 通过46种不同的超分辨率方法获取了失真视频，其中部分视频经过5种编解码器（aomenc、vvenc、x264、x265、uavs3es）的预处理，并采用不同的比特率和量化参数；* 数据集经过人工检查以确保冗余度最低。由于主观比较是在视频裁剪上进行，因此来自基准测试的视频均为全高清视频裁剪，因此接收到的数据集中所有视频的分辨率均较低。