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Computer Science > Multimedia

arXiv:2506.10003v1 (cs)
[Submitted on 20 Mar 2025 ]

Title: Integrating multimedia documents in 3D city models for a better understanding of territories

Title: 将多媒体文档集成到三维城市模型中以更好地理解领土

Authors:C.Gautier, J. Delanoy, G. Gesquière
Abstract: Digital 3D representations of urban areas, through their growing availability, are a helpful tool to better understand a territory. However, they lack contextual information about, for example, the history or functionality of buildings. On another side, multimedia documents like images, videos or texts usually contain such information. Crossing these two types of data can therefore help in the analysis and understanding of the organization of our cities. This could also be used to develop document search based on spatial navigation, instead of the classical textual query. In this paper, we propose four approaches to integrate multimedia documents in a 3D urban scene, allowing to contextualize the scene with any type of media. We combine these integration approaches with user guidance modes that allows to guide the user through the consumption of these media and support its understanding of the territory. We demonstrate the usefulness of these techniques in the context of different projects within the Lyon area (France). The use of multimedia documents integrated into a digital tour allows, for example, the iconic buildings to be contextualised or to understand the evolution of a territory through time.
Abstract: 通过日益丰富的数字化三维城市区域表示,可以更好地帮助我们理解一个地区。 然而,它们缺乏关于建筑历史或功能等背景信息。 另一方面,多媒体文档(如图像、视频或文本)通常包含此类信息。 因此,将这两种数据类型结合起来有助于分析和理解城市的组织结构。 这种方法还可以用于开发基于空间导航而非经典文本查询的文档搜索系统。 本文提出了四种方法,将多媒体文档集成到三维城市场景中,从而能够使用任何类型的媒体来丰富场景的上下文信息。 我们将这些集成方法与用户引导模式相结合,以指导用户消费这些媒体并支持他们对地域的理解。 我们在法国里昂地区的不同项目背景下展示了这些技术的实用性。 将多媒体文档整合到数字导览中,例如,可以对标志性建筑进行上下文描述,或者通过时间了解地域的演变。
Comments: 8 pages, 11 figures
Subjects: Multimedia (cs.MM) ; Human-Computer Interaction (cs.HC)
Cite as: arXiv:2506.10003 [cs.MM]
  (or arXiv:2506.10003v1 [cs.MM] for this version)
  https://doi.org/10.48550/arXiv.2506.10003
arXiv-issued DOI via DataCite
Journal reference: sprs-annals-X-4-W2-2022-69-2022
Related DOI: https://doi.org/10.5194/isprs-annals-X-4-W2-2022-69-2022
DOI(s) linking to related resources

Submission history

From: Corentin Gautier [view email]
[v1] Thu, 20 Mar 2025 15:10:54 UTC (28,846 KB)
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