AI and Artworks: Object Detection, Image Classification and Iconographic Analysis

Session

Relations

17 Apr 2026, 10:20

Seminar room 1&2 (Postsparkasse)

33. From Data to Context: AI-Based Style Attribution in Art History

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, 10:20

Talk

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...

27. Embedding-Based Image Analysis for Art Historical Research: Integrating AI into Digital Catalogues Raisonnés

Kiersten Thamm (HPF Innovations GmbH / Navigating.art)

17/04/2026, 10:40

Talk

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...