Aiding Provenance Research. A Computer-Assisted Image Retrieval in Auction Catalogs
Year: 2026
Type: article
Abstract: Provenance research examines the origin of objects and aims to reconstruct their ownership history. For this purpose, researchers increasingly use online resources such as the database German Sales, which contains auction and sales catalogs, through a full text search. While this is very valuable, a text-based search has limitations due to missing or varying information. This motivated us to search for a different, image-based method which enables searches for identical and similar images in large data collections using neural networks. We provide qualitative and quantitative results showing the effectiveness of our method and discuss the technical conceptualization of image similarity underlying the presented algorithm.
Source: ZFDG
DOI: 10.17175/sb008_005
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7166725574