Scene Detection in De Boer Historical Photo Collection

Melvin Wevers

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Paper

Scene Detection in De Boer Historical Photo Collection

Topics: Multimodal Collection Access; New Ways of Accessing Collections such as Associative and Serendipitous Search; Reflections on the Influence of AI on the Heritage Domain

In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH, 601-610, 2021 , Vienna, Austria

Author: Melvin Wevers

Affiliation: Department of History, University of Amsterdam, Amsterdam, The Netherlands

Keyword(s): Digital History, Computer Vision, Scene Detection, Digital Heritage.

Abstract: This paper demonstrates how transfer learning can be used to improve scene detection applied to a historical press photo collection. After applying transfer learning to a pre-trained Places-365 ResNet-50 model, we achieve a Top-1 accuracy of .68 and a Top-5 accuracy of .89 on our data set, which consists of 132 categories. In addition to describing our annotation and training strategy, we also reflect on the use of transfer learning and the evaluation of computer vision models for heritage institutes.

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Paper citation in several formats:

Wevers, M. (2021). Scene Detection in De Boer Historical Photo Collection. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 601-610. DOI: 10.5220/0010288206010610

@conference{artidigh21,
author={Melvin Wevers.},
title={Scene Detection in De Boer Historical Photo Collection},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH},
year={2021},
pages={601-610},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010288206010610},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH
TI - Scene Detection in De Boer Historical Photo Collection
SN - 978-989-758-484-8
IS - 2184-433X
AU - Wevers, M.
PY - 2021
SP - 601
EP - 610
DO - 10.5220/0010288206010610
PB - SciTePress