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Authors: Daniel Helm ; Florian Kleber and Martin Kampel

Affiliation: Computer Vision Lab, Institute of Visual Computing and Human-Centered Technology, TU Wien, Favoritenstraße 9/193-1, Vienna, Austria

Keyword(s): Historical Film Preservation, Film Archives, Deep Learning, Automated Film Analysis, Film Shot Dataset.

Abstract: Automated shot type classification plays a significant role in film preservation and indexing of film datasets. In this paper a historical shot type dataset (HistShot) is presented, where the frames have been extracted from original historical documentary films. A center frame of each shot has been chosen for the dataset and is annotated according to the following shot types: Close-Up (CU), Medium-Shot (MS), Long-Shot (LS), Extreme-Long-Shot (ELS), Intertitle (I), and Not Available/None (NA). The validity to choose the center frame is shown by a user study. Additionally, standard CNN-based methods (ResNet50, VGG16) have been applied to provide a baseline for the HistShot dataset.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Helm, D.; Kleber, F. and Kampel, M. (2022). HistShot: A Shot Type Dataset based on Historical Documentation during WWII. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM, ISBN 978-989-758-549-4; ISSN 2184-4313, pages 636-643. DOI: 10.5220/0010872500003122

@conference{icpram22,
author={Daniel Helm. and Florian Kleber. and Martin Kampel.},
title={HistShot: A Shot Type Dataset based on Historical Documentation during WWII},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM,},
year={2022},
pages={636-643},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010872500003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM,
TI - HistShot: A Shot Type Dataset based on Historical Documentation during WWII
SN - 978-989-758-549-4
IS - 2184-4313
AU - Helm, D.
AU - Kleber, F.
AU - Kampel, M.
PY - 2022
SP - 636
EP - 643
DO - 10.5220/0010872500003122