GCH 2024 - Eurographics Workshop on Graphics and Cultural Heritage
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Browsing GCH 2024 - Eurographics Workshop on Graphics and Cultural Heritage by Subject "Applied computing → Fine arts"
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Item AI-Driven Classification of a Design Photographic Archive(The Eurographics Association, 2024) Rodriguez Echavarria, Karina; Samaroudi, Myrsini; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanThe paper presents a workflow for deploying an Artificial Intelligence (AI) classification of a previously unclassified photographic collection, the Design Archive's glass plate negatives. This involved fine-tuning the DinoV2 self-supervised image retrieval system with a domain-expert taxonomy to classify approximately 10K images within 40 classes. As such, it addresses challenges relevant to the curation, analysis and discovery of large-scale visual collections. A 3D visualisation was implemented for users to access the outputs presenting images as data points using the Uniform Manifold Approximation and Projection for Dimension Reduction (UMAP) to project the embeddings of the neural network. The paper demonstrates the advantages of this approach and reflects how users can participate in the AI processes making them more transparent and trustable.Item Enriching Medieval 4D Models with Interactive Narratives(The Eurographics Association, 2024) Andujar, Carlos; Cayuela, Begoña; Lorés Otzet, Immaculada; Bosch, Carles; Guardia, Milagros; Munoz-Pandiella, Imanol; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanDigital technologies are increasingly used in cultural heritage preservation and dissemination, but some monuments pose significant challenges due to substantial historical architectural and pictorial changes. This paper introduces a method to enrich multi-layered, multi-phase 3D models of cultural heritage with art history knowledge. This is achieved through imagebased annotations, interactive narratives, points of interest, text, and audio, creating guided tours of the monument's historical phases. The approach is user-friendly for art historians, requiring no programming skills for defining such elements. A pilot user evaluation demonstrated its effectiveness in enhancing visitor engagement and understanding, and allowed improving the final web-based application and narratives.