Data2MV - A User Behaviour Dataset for Multi-View Scenarios

Identified as a necessity for SmoothMV, an head-tracking based multi-view solution developed at INESC TEC in Portugal, gaze data of users when visioning multi-view content was collected, processed and stored as dataset. The proposed dataset will be used as training data for future endeavours from SmoothMV, namely view prediction associated with user interests. Tracking data from head movement was obtained from 45 participants using an Intel Realsense F200 camera during viewing experiments with 7 different video playlists, each being viewed at least 17 times. This data set was made publicly available to the research community, contributing to reducing the current scarcity of such type of data. For storage optimization, saliency maps were subjected to image compression. Instructions for access to original saliency data are also provided. In addition, complementary tools for anyone to generate scatter plots and saliency maps from obtained data are provided.

该数据集被视为葡萄牙INESC TEC开发的一款基于头部跟踪的多视图解决方案SmoothMV的必备要素。在葡萄牙INESC TEC进行的视觉化多视图内容时，收集了用户的注视数据，经过处理和存储形成了数据集。该数据集将被用作SmoothMV未来研究的训练数据，特别是与用户兴趣相关的视图预测。通过Intel Realsense F200相机，在观看7个不同的视频播放列表的实验中，从45名参与者那里获得了头部运动跟踪数据，每个播放列表至少被观看17次。该数据集已对研究界公开，有助于缓解此类数据资源的稀缺。为了优化存储，显著图被进行了图像压缩。同时，也提供了获取原始显著图数据的访问指南。此外，还提供了用于从获取的数据生成散点图和显著图的补充工具。