挑战跨动态范围视频质量评估，推动通用评测标准
ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
- 设立跨HDR/SDR的视频质量评估挑战赛，测试模型泛化能力
- 7个模型参赛，4个超越VMAF基线，最优模型达最新水平
- 适合关注视频质量评估、多场景适配的研究者
本文报告了IEEE国际多媒体与博览会（ICME）2025年关于可泛化高动态范围（HDR）与标准动态范围（SDR）视频质量测量的年度挑战赛。随着视频技术快速发展，尤其是HDR与SDR内容的普及，对鲁棒且具备泛化能力的视频质量评估（VQA）方法的需求日益迫切。现有VQA模型在不同动态范围、失真类型和内容多样性下表现不一致。该挑战旨在评估能够同时处理HDR与SDR内容的VQA方法。最终评估阶段共有五支团队提交七项模型及技术报告，覆盖全参考（FR）与无参考（NR）赛道。其中四项方法优于VMAF基线，最高性能模型达到当前最先进水平，为可泛化视频质量评估设立了新基准。
原文摘要 · Abstract (English)
This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid development of video technology, especially High Dynamic Range (HDR) and Standard Dynamic Range (SDR) contents, the need for robust and generalizable Video Quality Assessment (VQA) methods has become increasingly demanded. Existing VQA models often struggle to deliver consistent performance across varying dynamic ranges, distortion types, and diverse content. This challenge was established to benchmark and promote VQA approaches capable of jointly handling HDR and SDR content. In the final evaluation phase, five teams submitted seven models along with technical reports to the Full Reference (FR) and No Reference (NR) tracks. Among them, four methods outperformed VMAF baseline, while the top-performing model achieved state-of-the-art performance, setting a new benchmark for generalizable video quality assessment.
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