Published June 30, 2023
| Version v1
Conference paper
Open
imgs.ai. A Deep Visual Search Engine for Digital Art History
Creators
- 1. University of California, Santa Barbara, United States of America
- 2. Philipps-Universität Marburg, Germany
Contributors
Data managers:
Hosting institution:
- 1. University of Graz
- 2. Belgrade Center for Digital Humanities
- 3. Le Mans Université
- 4. Digital Humanities im deutschsprachigen Raum
Description
We present a Web application that facilitates the deep visual search of image collections using contemporary machine learning. We discuss image retrieval as a combined computer vision/human-computer interaction problem, and propose that the standardization of feature extraction is one of the main problems that digital art history faces today.
Files
OFFERT_Fabian_imgs_ai__A_Deep_Visual_Search_Engine_for_Digit.pdf
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Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.7961822 (DOI)