Design Space for Visualizing Multimedia Documents in Spatio-Temporal-Thematic Urban Context
Multimedia documents such as photographs, videos, texts, and web pages are essential for understanding how urban environments evolve, but exploring them in relation to a 3D city model remains difficult because spatial, temporal, and thematic relations must be handled simultaneously. This paper investigates how a design space for such visualizations can be constructed without reducing either the urban context or the informational richness of the documents. We adopt a design-driven methodology based on iterative prototyping: visualization propositions are developed from initial requirements, tested through simulation, confronted with user needs, and refined as new needs and limitations emerge. The paper first structures the corpus in a spatio-temporal-thematic model, then formalizes the main culling and display functions required for exploration. On that basis, we derive a family of complementary visualization propositions for tasks including spatial selection, temporal filtering, georeferenced media display, non-georeferencable document organization, link visualization, and document quantity analysis. Rather than proposing a single interface, the contribution is a structured design space and a set of concrete visualization propositions for multimedia exploration in 3D urban environments.
Authors
- Valérie Gouet-Brunet (ORCID: https://orcid.org/0000-0003-3666-5146)
- Gilles Gesquière (ORCID: https://orcid.org/0000-0001-7088-1067)
- Akin Gulfidan
- John Samuel
- Pierre-Antoine Chiron
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Université Lumière Lyon 2 (FR)
- École Supérieure d'Art et Design de Saint-Étienne (FR)
- Institut Lumière Matière (FR)
- Université Gustave Eiffel (FR)
- Institut National des Sciences Appliquées de Lyon (FR)
- École d'Ingénieurs en Chimie et Sciences du Numérique (FR)
Publication Details
- Journal
- ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
- Published
- 2026-09-28
- DOI
- https://doi.org/10.5194/isprs-annals-xii-4-w1-2026-179-2026
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00