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Authors: Motti Zohar 1 ; Ilan Shimshoni 2 and Fadi Khateb 2

Affiliations: 1 Department of Geography and Environmental Studies, University of Haifa, Israel ; 2 Department of Information Systems, University of Haifa, Israel

Keyword(s): GIScience, Computer Vision, Geo-referencing, Cartography, Jerusalem.

Abstract: Photographs of Ottoman Palestine are available only from the 2nd half of the 19th century onward. Thus, in order to reconstruct the landscape at the time one should rely on other visual sources such as old paintings. To do so, their accuracy and completeness must be addressed first. In this paper we analyse a painting from 1823 by the British Sir Frederick Henniker that drew the Old City of Jerusalem when standing somewhere on the Mount of Olives. We use GIScience techniques with computer vision capabilities to resolve the exact location where the artist stood as well as verifying errors and completeness of the painting. Preliminary results demonstrate that the location of the artist when drawing the painting was on top of Mount of Olives (close to present-day 7 arches hotel) rather at the Cave of the Apostles as cited in the NLI librarian citation. Additionally, the accuracy of his work was verified by comparing the features he drew on the canvas to their actual location on a presen t-day photograph. (More)

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Paper citation in several formats:
Zohar, M.; Shimshoni, I. and Khateb, F. (2020). GIScience Integrated with Computer Vision for the Interpretation and Analysis of Old Paintings. In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-425-1; ISSN 2184-500X, SciTePress, pages 233-239. DOI: 10.5220/0009464902330239

@conference{gistam20,
author={Motti Zohar. and Ilan Shimshoni. and Fadi Khateb.},
title={GIScience Integrated with Computer Vision for the Interpretation and Analysis of Old Paintings},
booktitle={Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2020},
pages={233-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009464902330239},
isbn={978-989-758-425-1},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - GIScience Integrated with Computer Vision for the Interpretation and Analysis of Old Paintings
SN - 978-989-758-425-1
IS - 2184-500X
AU - Zohar, M.
AU - Shimshoni, I.
AU - Khateb, F.
PY - 2020
SP - 233
EP - 239
DO - 10.5220/0009464902330239
PB - SciTePress

- Science and Technology Publications, Lda.
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