Aiding Provenance Research. A Computer-Assisted Image Retrieval in Auction Catalogs

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.

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Publication Details

Journal
ZFDG
Published
2026-06-30
DOI
https://doi.org/10.17175/sb008_005
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Aiding Provenance Research. A Computer-Assisted Image Retrieval in Auction Catalogs

Mathias Zinnen, Vincent Christlein, Andreas Maier, Sabine Lang
ZFDG
Scientific Computing and Data Management
article

Aiding Provenance Research. A Computer-Assisted Image Retrieval in Auction Catalogs

Mathias Zinnen, Vincent Christlein, Andreas Maier, Sabine Lang
article en

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.

ZFDG
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Openalex Percentile: Top 4%
Scientific Computing and Data Management
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