DVL2024: A Larger Ultra-High-Definition Video Dataset for Perceptual Quality Study

• Published in: IEEE access Vol. 13; pp. 40429 - 40437
• Main Authors: He, Jiefeng, Yuan, Jinchun, Xing, Fengchuang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Annotations; authentic distortion; Benchmarks; Calibration; Datasets; Distortion; High definition; Monitoring; Performance evaluation; Quality assessment; R&D; Research & development; Temperature measurement; Temperature sensors; Training; UHD video dataset; UHDTV; video quality assessment; Video sequences

This paper introduces DVL2024, an expansive ultra-high definition (UHD) video dataset meticulously curated for advancing perceptual video quality assessment (VQA) research. DVL2024 stands as the largest available UHD video quality assessment dataset in stunning 4K resolution (<inline-formula>...