Head and Gaze Behavior for 360-Degree Videos

本数据集由香港中文大学（深圳）创建，专注于360度视频中的头部和凝视行为。数据集包含100名用户和27个视频，具有高频率（120Hz）和丰富的维度，旨在通过客观技术指标（如相机运动、视频质量和兴趣区域分散度）来量化视频特征。该数据集的应用领域包括改进360度视频流媒体系统的效率，通过凝视数据辅助预测视野，以及探索用户行为模式与视频内容之间的关联。

This dataset, developed by The Chinese University of Hong Kong, Shenzhen, focuses on head and gaze behaviors in 360-degree videos. Comprising 100 participants and 27 video samples, the dataset boasts a high sampling rate of 120Hz and rich dimensionality. It aims to quantify video characteristics through objective technical metrics such as camera motion, video quality, and region-of-interest dispersion. The application scenarios of this dataset include improving the efficiency of 360-degree video streaming systems, assisting in field-of-view prediction using gaze data, and exploring the correlations between user behavior patterns and video content.