shreshthsaini/CHUG

CHUG是一个用户生成的高动态范围(HDR)视频质量评估数据集。它包含了不同分辨率和比特率的视频，用于评估感知质量和压缩效果。数据集中的视频展示了独特的失真，如色带和过曝光。该数据集适用于无参考HDR视频质量评估和实际HDR流媒体质量分析，对于HDR失真研究、HDR流媒体优化和HDR质量度量的发展具有重要意义。

CHUG is a user-generated High Dynamic Range (HDR) video quality assessment dataset. It includes videos at various resolutions and bitrates for evaluating perceptual quality and compression effects. The videos in the dataset exhibit unique distortions such as banding and overexposure. This dataset is suitable for No-Reference HDR video quality assessment and real-world HDR streaming quality analysis, and is significant for HDR distortion research, HDR streaming optimization, and the advancement of HDR quality metrics.