Track 03 – Infrastructures, Dataspace, International Projects

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A Searchable Multimodal Dataset of Rococo-Era Ornamental Prints
(The Eurographics Association, 2025) Hudcovic, Thomas; Röckl, Ines; Jachmann, Julian; Zachmann, Gabriel; Campana, Stefano; Ferdani, Daniele; Graf, Holger; Guidi, Gabriele; Hegarty, Zackary; Pescarin, Sofia; Remondino, Fabio
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.