A Searchable Multimodal Dataset of Rococo-Era Ornamental Prints
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a curated multimodal dataset and an accompanying multimodal retrieval system designed to promote reproducible research in art historical information access. The dataset consists of 1,605 digitized photographs of eighteenth-century original prints, with a specific focus on Rocaille ornamentation. Each image is paired with rich metadata as well as additional domain expert commentary. The multimodal retrieval system exposes this corpus through a search engine, implemented with a lightweight architecture. Semantic search is enabled by dense multimodal embeddings. Full-text and fuzzy queries are enabled by conventional database indices. Both types of queries can be easily made through a simple website, exposing the search engine. Our implementation also provides a simple, uniform, queryable REST API, which makes the collection easily and flexibly accessible to researchers with programming skills. Emphasizing scalability and extensibility, the platform can serve as a practical blueprint for deploying multimodal search across specialized image-text datasets. Note that this paper describes work-in-progress; in particular, the multimodal embedding model is currently being implemented.
Description
CCS Concepts: Applied computing → Fine arts; Information systems → Digital libraries and archives; Multimedia information systems; Search engine architectures and scalability; Computing methodologies → Machine learning
@inproceedings{10.2312:dh.20253256,
booktitle = {Digital Heritage},
editor = {Campana, Stefano and Ferdani, Daniele and Graf, Holger and Guidi, Gabriele and Hegarty, Zackary and Pescarin, Sofia and Remondino, Fabio},
title = {{A Searchable Multimodal Dataset of Rococo-Era Ornamental Prints}},
author = {Hudcovic, Thomas and Röckl, Ines and Jachmann, Julian and Zachmann, Gabriel},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-277-6},
DOI = {10.2312/dh.20253256}
}