Unveiling Historical Depth: Semantic annotation of the Panorama of the Battle of Murten
Year: 2024
Type: conference-paper
Abstract: 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).
Authors: Jaquet, Daniel, Chau, Tsz Kin
Institution: École Polytechnique Fédérale de Lausanne
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893065136
FWCI:
Cites:
Cited by:
Related to: