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Thiago Hersan (Parsons School of Design), Dr Giselle Beiguelman (University of São Paulo), Dr Ana Gonçalves Magalhães (University of São Paulo)16/04/2026, 09:30Talk
In this talk we'll present our methodology and prototype for a meta-collection system called [Meta-Acervos][7] that uses different AI models and computer vision techniques to recombine existing archive metadata. We’ll share the challenges we faced when using pre-trained models and how we addressed questions of vocabulary and legibility in the art history field.
This work was carried out...
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Dr Marta Kipke (Center for Humanities Computing, Aarhus University), Louise Brix Pilegaard Hansen (Center for Humanities Computing, Aarhus University)16/04/2026, 09:50Talk
When is a machine learning model performing well? From a computer science perspective, this question can be answered quite simply with evaluation metrics. A statistically well-performing model forms the basis for any further research, in real-world, as well as in humanities domains. However, domain-specific tasks and in-depth case studies, such as those in digital art history, often reveal...
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Dr Katarina Mohar (Research Centre of the Slovenian Academy of Sciences and Arts, ZRC SAZU), Dr Rok Vrabič (University of Ljubljana)16/04/2026, 10:10Talk
Most AI models used in art-historical analysis or image generation are trained on large photographic datasets whose statistical structure differs fundamentally from painted images. This raises a key methodological problem: how can such pre-trained models be adapted to small, historically specific corpora while retaining interpretive reliability?
This paper presents results from the ongoing...
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Dr Drew Thomas (University of Salzburg), Ms Julia Hintersteiner (University of Salzburg)16/04/2026, 11:30Talk
This paper presents a practical approach to applying the Iconclass system to medieval manuscript imagery by combining image analysis with existing textual metadata. Building on our earlier large-language-model (LLM) pipeline for assigning Iconclass codes to early modern woodcuts, we extend the method to the Wenzelsbibel, a richly illuminated fourteenth-century German Bible.
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The project tests... -
Charles van den Heuvel (University of Amsterdam / Huygens Institute), Etienne Posthumus (FIZ Karlsruhe), Hans Brandhorst (ICONCLASS)16/04/2026, 11:50Talk
Almost every art historian has heard of Iconclass. Less known is that the creator of Iconclass, Henri van de Waal (1910-1972) for the greater part of his life worked on another classification of the arts, with the title: “Beeldleer” (Iconology). It was intended as a tool for “iconological exploration” for mapping still uncharted territories of the arts. In line with Aby Warburg and his...
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Carla Maria Schnedlitz (Austrian National Library), Christoph Steindl (Austrian National Library), Johannes Knüchel (Austrian National Library), Simon Mayer (Austrian National Library)16/04/2026, 12:10Talk
“Reading Images, Writing Metadata” is an ongoing project by the Austrian National Library (ONB) which is aiming towards enriching metadata using various Computer Vision techniques, including AI models and Machine Learning, on a diverse collection of graphics and images.
The pictures and graphics available in the online portal ONB Digital are to be made more accessible through automatic...
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Markus Seidl (University of Applied Sciences St. Pölten), Florian Kibler (University of Applied Sciences St. Pölten), Martin Haltrich (Research Center Stift Klosterneuburg), Max Theisen (Research Center Stift Klosterneuburg), Victor-Adriel De-Jesus-Oliveira (University of Applied Sciences St. Pölten)16/04/2026, 14:00Talk
A particular form of medieval book decoration is so-called pen flourishing, used to describe delicate penwork with floral and geometric motifs. Pen flourishing typically appears in decorated initials inserted, usually in red and blue, after the main text had been copied. As book production became increasingly specialized in the later Middle Ages, this task was performed by rubricators,...
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Barbara Tramelli (Freie Universität Bozen)16/04/2026, 14:20Talk
AI-driven methodologies can transform the study of digital images. Focusing on the Lyon16ci project, which catalogs over 10,000 printed illustrations from Lyon (1480–1600), the paper explores the potential of utilizing automatic image recognition softwares, such as the Imagematching (VGG, Oxford), to detect varying degrees of visual similarity across large iconographic corpora.
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By... -
Marta Pizzagalli (Università della Svizzera italiana / Cambridge University), Mr Rocco Felici (Università della Svizzera italiana / Scuola universitaria professionale della Svizzera italiana)16/04/2026, 14:40Talk
ABSTRACT
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The literary, philological and historical study of illustrated magazines encounters numerous problems, especially when it comes to nineteenth-century or early twentieth-century periodicals. The main problem is due to the scarcity of preserved editorial archives and correspondence between publishers and writers/illustrators, documents that could record the production processes and... -
Mert Özdemir (Heinrich Heine University Düsseldorf)16/04/2026, 15:45Poster
Currently existing AI systems – ranging from MLLMs to specialized models like GalleryGPT or CLIP – are increasingly used for art historical research, but being mostly trained on surface-level, image intrinsic characteristics, they fail to approximate deep semantic and contextual art historical methods such as Aby Warburg’s Mnemosyne Atlas. This study asks two questions: Can we currently build...
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Mr Christian Lendl (Austrian Academy of Sciences)16/04/2026, 15:45Poster
The Wiener Salonblatt was one of the most popular society magazines of fin-de-siècle Vienna. The highly illustrated weekly was published from 1870 to 1938 and primarily featured short notices about personal achievements, travels, and family matters – mostly contributed by members of the nobility. These messages fulfilled a function similar to that of posts on today’s social media platforms:...
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Nick Mols (Royal Museums of Art and History, Brussels)16/04/2026, 15:45Poster
Abstract
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Ever-accelerating technologies, such as 3D scanning and AI open up new approaches to research history while challenging the development and narratives of visual representations. Correlating novel digital innovations and art history resulted in ‘digital art history’ as a collaboration between art history, digital humanities, and computer science (A. Bentkowska-Kafel et al. 2005; K.... -
Ellen Charlesworth (University of Luxembourg), Ms Ludovica Schaerf (University of Zurich)16/04/2026, 16:45Talk
This paper will showcase multiple computational approaches to explore the pictorial conventions of landscape paintings in the late 19th century, taking a comparative approach between collections from Japan, China, and the UK. These datasets will be the basis of an investigation into the use of latent space to explore cultural frameworks within museum collections.
The use of such models...
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Elham Etemadi (Arkin University of Creative Arts and Design)16/04/2026, 17:05Talk
Artificial intelligence has become an unexpected curator of global art. Tools such as ChatGPT, image generators, and search engines increasingly act as cultural institutions that reshape how artworks are perceived, classified, and archived. They decide, often invisibly, which works are seen, how they are described, and which narratives are amplified. Yet the databases behind these systems are...
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Dr Etienne Posthumus (FIZ Karlsruhe), Dr Hans Brandhorst (ICONCLASS)16/04/2026, 18:00Talk
King Augeas of Elis possessed the largest herd of cattle, goats and horses in all of Greece. For 30 years he did nothing to prevent his animals from polluting the floors of his stables with a mountain of dung. It took the strenght and ingenuity of Hercules to clean up the mess.
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For 30 years museums, libraries and archives have put in an enormous effort to digitize their image collections. In... -
Prof. Peter Bell (Philipps-University Marburg)17/04/2026, 09:00Talk
Strong AI seems to solve every question and task in a chat interface which is easy to use by scholars of the humanities. Multimodal approaches in AI lately obscured the sharp distinctions in machine learning with its research field computer vision and various methods like object recognition, pose estimation and scene understanding. Art historians who test this promise of strong AI are either...
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Ms Teresa Kamencek (University of Vienna), Dr Velitchko Filipov (Technical University of Vienna), Ms Michaela Tuscher (Technical University of Vienna), Prof. Silvia Miksch (Technical University of Vienna), Prof. Raphael Rosenberg (University of Vienna)17/04/2026, 10:20Talk
We present an exploratory approach to a relationally conceived art history, which does not consider its central categories of order in isolation, but models them in their interconnection. One of these categories is the concept of style. With the advent of AI, we must redefine “style,” which until now has been thought of as a definite and epochal entity. Recent developments in Digital Art...
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Kiersten Thamm (HPF Innovations GmbH / Navigating.art)17/04/2026, 10:40Talk
Navigating.art is developing an AI-assisted image analysis feature within an existing platform that enables art researchers to record, manage, and publish digital catalogues raisonnés anchored in a relational database. The new feature leverages amazon.titan-embed-image-v1 (AWS Bedrock) to generate 384-dimensional vector embeddings, representing individual artworks and detected subregions in a...
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Florian Atzenhofer-Baumgartner (University of Graz), Martin Roland (Austrian Academy of Sciences)17/04/2026, 11:40Talk
This paper addresses the application of deep learning tools to the charter-specific platform Monasterium.net, with particular focus on the “Illuminated Charters” collection. Building on the object detection pipeline developed within the project DiDip, we extend its application toward art-historical and diplomatist analysis, a task previously requiring prohibitive manual effort.
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The DiDip... -
Dr Zsuzsa Sidó (Institute of Art History, ELTE Research Center for the Humanities – Art Collection of the Hungarian Academy of Sciences)17/04/2026, 12:00Talk
This contribution examines what AI-supported object detection, image classification analysis and data enrichment look like from the vantage point of a small-sized 19th-20th century art collection that is only partially inventoried, unevenly digitized, and structurally under-resourced. The Art Collection of the Hungarian Academy of Sciences – comprising mainly painted and sculpted portraits,...
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Ljudmila Djukic (Belgrade)17/04/2026, 12:20Talk
Title: Using AI for Icon Analysis
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The paper examines the AI analysis of the selection of icons exhibited at "The Light of the Logos," an international, juried exhibition of sacred art held in Belgrade in August 2025. This exhibition showcased the works of some of the most significant and talented icon painters from Serbia and around the globe. Featuring over a hundred meticulously crafted...
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