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Authors: P. Chippendale 1 ; M. Zanin 1 and M. Dalla Mura 2

Affiliations: 1 Fondazione Bruno Kessler, Italy ; 2 Grenoble Institute of Technology, France

ISBN: 978-989-8565-48-8

Keyword(s): Media Forensics, Visual Authentication, 3D Terrain-model Registration, Augmented Reality, Machine Vision, Geo-informatics.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Entertainment Imaging Applications ; Multimedia Forensics ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: In this paper, we explore the topic of geo-tagged photo authentication and introduce a novel forensic tool created to semi-automate the process. We will demonstrate how a photo’s location and time can be corroborated through the correlation of geo-modellable features to embedded visual content. Unlike previous approaches, a machine-vision processing engine iteratively guides users through the photo registration process, building upon available meta-data evidence. By integrating state-of-the-art visual-feature to 3D-model correlation algorithms, camera intrinsic and extrinsic calibration parameters can also be derived in an automatic or semi-supervised interactive manner. Experimental results, considering forensic scenarios, demonstrate the validity of the system introduced.

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Paper citation in several formats:
Chippendale P., Zanin M. and Dalla Mura M. (2013). Geo-positional Image Forensics through Scene-terrain Registration.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 41-47. DOI: 10.5220/0004282300410047

@conference{visapp13,
author={P. Chippendale and M. Zanin and M. {Dalla Mura}},
title={Geo-positional Image Forensics through Scene-terrain Registration},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={41-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004282300410047},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Geo-positional Image Forensics through Scene-terrain Registration
SN - 978-989-8565-48-8
AU - Chippendale P.
AU - Zanin M.
AU - Dalla Mura M.
PY - 2013
SP - 41
EP - 47
DO - 10.5220/0004282300410047

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