FSVVD：一个全场景体积视频数据集
FSVVD: A Dataset of Full Scene Volumetric Video
AI总结：
本文首次发布了一个基于点云的全场景体积视频数据集FSVVD，包含多人及其与外部环境交互的日常活动，以弥补现有数据集仅含单个对象、缺乏场景细节和交互信息的不足。
摘要：
近年来，沉浸式多媒体快速发展，弥合了现实世界与虚拟空间之间的鸿沟。体积视频作为一种新兴的代表性三维视频范式，赋能扩展现实，在提供前所未有的沉浸式和交互式观看体验方面脱颖而出。尽管潜力巨大，但三维体积视频的研究仍处于起步阶段，依赖于充分且完整的数据集进行进一步探索。然而，现有的相关体积视频数据集大多只包含单个对象，缺乏场景细节以及对象之间的交互。在本文中，我们聚焦当前最广泛使用的数据格式——点云，并首次发布了一个全场景体积视频数据集，其中包含多个人物及其与外部环境交互的日常活动。我们对该数据集进行了全面的描述与分析，并探讨了其潜在用途。该数据集及附加工具可通过以下网站访问：https://cuhksz-inml.github.io/full_scene_volumetric_video_dataset/。
英文摘要：
Recent years have witnessed a rapid development of immersive multimedia which bridges the gap between the real world and virtual space. Volumetric videos, as an emerging representative 3D video paradigm that empowers extended reality, stand out to provide unprecedented immersive and interactive video watching experience. Despite the tremendous potential, the research towards 3D volumetric video is still in its infancy, relying on sufficient and complete datasets for further exploration. However, existing related volumetric video datasets mostly only include a single object, lacking details about the scene and the interaction between them. In this paper, we focus on the current most widely used data format, point cloud, and for the first time release a full-scene volumetric video dataset that includes multiple people and their daily activities interacting with the external environments. Comprehensive dataset description and analysis are conducted, with potential usage of this dataset. The dataset and additional tools can be accessed via the following website: https://cuhksz-inml.github.io/full_scene_volumetric_video_dataset/.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
