Unveiling Historical Depth: Semantic annotation of the Panorama of the Battle of Murten
In the context of the research project Digitizing and Augmenting the Panorama of the Battle of Murten (EPFL, 2022-2026), we have produced the largest digital image of a single work of art (1.62 terapixel, the original painting dimensions are 10x100m, oil on canvas, 1894). To enhance the interpretation of the panorama's intricate visual content, we propose a deep semantic annotation approach for data curation, operating at the Point of Interest (POI) level. This workshop is being offered by Daniel Jaquet and Tsz Kin Chau (EPFL).
Institutions
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-13
- DOI
- https://doi.org/10.5281/zenodo.14175342
- Primary Topic
- Aesthetic Perception and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00