Published February 20, 2026
| Version v1
Conference paper
Open
Computer Vision Analysis of War-Related Visual Culture: Patterns and Symbols in Russia-Ukraine Conflict Art
Authors/Creators
- 1. Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutschland
Contributors
Data manager (6):
- 1. Universität Bielefeld
- 2. Universität Wien
- 3. Digital Humanities im deutschsprachigen Raum
- 4. Universität zu Köln
- 5. Universität Trier
Description
The Russia-Ukraine conflict has generated an unprecedented volume of visual art spanning street murals, internet memes, children's drawings, and fine art across multiple languages and cultures. This poster presents ongoing research that employs artificial intelligence to analyze nearly 4,600 war-related images, demonstrating how computational methods can decode complex iconographic patterns in contemporary conflict art.
Files
GAGARINA_Dinara_Computer_Vision_Analysis_of_War_Related_Visu.pdf
Files
(100.8 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:2c91fadf26a5803e11b13e34da9fcb62
|
90.4 kB | Preview Download |
|
md5:9d5df47d112b2337152879ea1ded87dc
|
10.4 kB | Preview Download |
Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.18591948 (DOI)
- Is supplemented by
- Poster: 10.5281/zenodo.18999775 (DOI)