CHUG: Crowdsourced User-Generated HDR Video Quality Dataset

• URL: http://arxiv.org/abs/2510.09879v1
• Date: Fri, 10 Oct 2025 21:35:39 GMT
• Title: CHUG: Crowdsourced User-Generated HDR Video Quality Dataset
• Authors: Shreshth Saini, Alan C. Bovik, Neil Birkbeck, Yilin Wang, Balu Adsumilli,
• Abstract summary: High Dynamic Range (UGC) videos enhance visual experiences with superior brightness, contrast, and color depth.<n>The surge of User-Generated Content (UGC) on platforms like YouTube and TikTok introduces unique challenges for HDR video quality assessment (VQA) due to diverse capture conditions, editing artifacts, and compression distortions.<n>Existing HDR-VQA datasets primarily focus on professionally generated content (PGC), leaving a gap in understanding real-world degradations.
• Score: 35.65322085280114
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: High Dynamic Range (HDR) videos enhance visual experiences with superior brightness, contrast, and color depth. The surge of User-Generated Content (UGC) on platforms like YouTube and TikTok introduces unique challenges for HDR video quality assessment (VQA) due to diverse capture conditions, editing artifacts, and compression distortions. Existing HDR-VQA datasets primarily focus on professionally generated content (PGC), leaving a gap in understanding real-world UGC-HDR degradations. To address this, we introduce CHUG: Crowdsourced User-Generated HDR Video Quality Dataset, the first large-scale subjective study on UGC-HDR quality. CHUG comprises 856 UGC-HDR source videos, transcoded across multiple resolutions and bitrates to simulate real-world scenarios, totaling 5,992 videos. A large-scale study via Amazon Mechanical Turk collected 211,848 perceptual ratings. CHUG provides a benchmark for analyzing UGC-specific distortions in HDR videos. We anticipate CHUG will advance No-Reference (NR) HDR-VQA research by offering a large-scale, diverse, and real-world UGC dataset. The dataset is publicly available at: https://shreshthsaini.github.io/CHUG/.

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