Record link: 
http://hdl.handle.net/20.500.12708/150286
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Title: 
Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation
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Citation: 
Helm, D., Jogl, F., & Kampel, M. (2022). Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation. In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 2087–2091). https://doi.org/10.1109/ICIP46576.2022.9897300
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Publisher DOI: 
10.1109/ICIP46576.2022.9897300
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Helm, Daniel 
Jogl, Fabian 
Kampel, Martin 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published in: 
2022 IEEE International Conference on Image Processing (ICIP) 
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ISBN: 
978-1-6654-9620-9
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Date (published): 
2022
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Event name: 
2022 IEEE International Conference on Image Processing (ICIP) 
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Event date: 
16-Oct-2022 - 19-Oct-2022
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Event place: 
Bordeaux, France
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Number of Pages: 
5
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Peer reviewed: 
Yes
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Keywords: 
Historical Film Dataset; Film Archives; Deep Learning; Automated Film Analysis; Cinematographic Data
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Project title: 
Visuelle Geschichte des Holocaust: Kuratieren im Digitalen Zeitalter: SEP-210499877 (European Commission) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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