SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features

Xiao Tan, Ünsal Satan, Jonas Zellweger, Gaudenz Halter, Barbara Flückiger, Renato Pajarola, Alexandra Diehl

2025

Abstract

Digital archives, especially audiovisual archives, often contain a large number of features of interest to digital humanities scholars, including video, audio, metadata, and annotation data. These large and complex datasets pose numerous challenges, such as how to get an overview of the overall data structure, how to identify associations between relevant data features, and how to formulate hypotheses based on observations or elicit new conceptualizations. To address these challenges, we propose a visualization tool SnakeTrees that allows digital humanities scholars to explore audiovisual archives in a novel interactive way based on computational grouping and similarity analysis provided by dimensionality reduction methods and clustering techniques. The main goal of visualizing and exploring these abstract representations is to encourage the finding of new concepts, discover new unexpected connections between different audiovisual elements, and engage users in exploratory analysis. Our approach uses interactive visualization and computational hierarchical structures to provide pre-configured groupings and categorizations that users can use as a basis for exploration and analysis.

Paper Citation

in Harvard Style

Tan X., Satan Ü., Zellweger J., Halter G., Flückiger B., Pajarola R. and Diehl A. (2025). SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-728-3, SciTePress, pages 740-751. DOI: 10.5220/0013241500003912

in Bibtex Style

@conference{ivapp25,
author={Xiao Tan and Ünsal Satan and Jonas Zellweger and Gaudenz Halter and Barbara Flückiger and Renato Pajarola and Alexandra Diehl},
title={SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2025},
pages={740-751},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013241500003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features
SN - 978-989-758-728-3
AU - Tan X.
AU - Satan Ü.
AU - Zellweger J.
AU - Halter G.
AU - Flückiger B.
AU - Pajarola R.
AU - Diehl A.
PY - 2025
SP - 740
EP - 751
DO - 10.5220/0013241500003912
PB - SciTePress