YouTube SFV+HDR质量数据集

YouTube SFV+HDR质量数据集由谷歌公司创建，旨在研究短形式视频（SFV）和高动态范围（HDR）视频的质量评估。该数据集包含4030条视频，涵盖10个流行内容类别，如动物、烹饪、舞蹈等。数据集通过三步采样框架创建，确保视频的代表性和多样性。该数据集主要用于视频质量评估研究，特别是SFV和HDR视频的质量差异分析，以及现有UGC质量指标的适用性评估。

The YouTube SFV+HDR Quality Dataset was created by Google to conduct research on quality assessment of short-form video (SFV) and high dynamic range (HDR) videos. This dataset contains 4030 video clips, covering 10 popular content categories such as animals, cooking, dance and others. It was constructed via a three-step sampling framework to ensure the representativeness and diversity of the dataset. This dataset is primarily used for video quality assessment research, specifically for analyzing quality differences between SFV and HDR videos, as well as evaluating the applicability of existing user-generated content (UGC) quality metrics.