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Computer Science > Multimedia

arXiv:2303.03599 (cs)
[Submitted on 7 Mar 2023 (v1), last revised 17 Apr 2023 (this version, v2)]

Title:FSVVD: A Dataset of Full Scene Volumetric Video

Authors:Kaiyuan Hu, Yili Jin, Haowen Yang, Junhua Liu, Fangxin Wang
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Abstract: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: this https URL.
Comments: Accepted by MMSys'23 Open Dataset and Software Track. The dataset and additional tools can be accessed via this https URL
Subjects: Multimedia (cs.MM); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
Cite as: arXiv:2303.03599 [cs.MM]
  (or arXiv:2303.03599v2 [cs.MM] for this version)
  https://doi.org/10.48550/arXiv.2303.03599

Submission history

From: Yili Jin [view email]
[v1] Tue, 7 Mar 2023 02:31:08 UTC (3,149 KB)
[v2] Mon, 17 Apr 2023 08:50:55 UTC (3,543 KB)
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