article · Forensic Science International Digital Investigation · 2024
Geotagging accuracy in smartphone photography
Elénore Ryser, Hannes Spichiger, David-Olivier Jaquet-Chiffelle
Cited by 2Open access
Abstract
After a decade of technological advancements, digital forensic science is under increasing pressure to deliver investigative findings with a high degree of scientific rigor. The judicial community has voiced growing concerns regarding digital traces and their interpretation. This research focuses on assessing the significance of geolocation information embedded within the metadata of photographs captured using a mobile phone. In order to examine the variability in the accuracy of this geolocation metadata and identify potential external influences, images were taken at 29 different locations distributed along three distinct paths. The photographs were captured using two Samsung Galaxy S8 SM-G950F devices running on Android 8.0. Various configurations of GNSS and mobile network connections were tested, and their potential impact on the accuracy of geolocation metadata was investigated. The findings show the dependency of geolocation accuracy on the specific measurement location. This research ultimately highlights the imperative for evaluative approaches to take into account the specific characteristics of each point of interest, as opposed to leaning on broad statements about the reliability of geolocation processes in general.
Cite this paper
Ryser, E., Spichiger, H., & Jaquet-Chiffelle, D.-O. (2024). Geotagging accuracy in smartphone photography. Forensic Science International Digital Investigation, 50, 301813. https://doi.org/10.1016/j.fsidi.2024.301813
Ryser, Elénore, et al. “Geotagging accuracy in smartphone photography.” Forensic Science International Digital Investigation, vol. 50, 2024, p. 301813, https://doi.org/10.1016/j.fsidi.2024.301813.
Ryser, Elénore, Hannes Spichiger, and David-Olivier Jaquet-Chiffelle. 2024. “Geotagging accuracy in smartphone photography.” Forensic Science International Digital Investigation 50: 301813. https://doi.org/10.1016/j.fsidi.2024.301813.
Ryser, E., Spichiger, H. and Jaquet-Chiffelle, D.-O. (2024) ‘Geotagging accuracy in smartphone photography’, Forensic Science International Digital Investigation, 50, p. 301813. Available at: https://doi.org/10.1016/j.fsidi.2024.301813.
@article{ryser2024geotagging,
title = {{Geotagging accuracy in smartphone photography}},
author = {Ryser, Elénore and Spichiger, Hannes and Jaquet-Chiffelle, David-Olivier},
journal = {Forensic Science International Digital Investigation},
volume = {50},
pages = {301813},
year = {2024},
doi = {10.1016/j.fsidi.2024.301813}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
Related papers
Geotagging Where Cyberspace Comes to Your Place
Craig Valli, Peter Hannay · Research Online (Edith Cowan University) · 2010
Cited by 17
Geotagging for Malay documents using Name-Entity Recognition Approach
Muhammad Syahir Nazarudin, Haslizatul Mohamed Hanum, Shuzlina Abdul-Rahman et al. · IEEE International Conference on Computing (ICOCO) · 2022
Cited by 1
Automatic Geotagging: Technology and Opportunities
Mark Terry · International Symposium on Technologies for Digital Photo Fulfillment · 2009
Cited by 0Open access
Geotagging tweets to landmarks using convolutional neural networks with text and posting time
Kwan Hui Lim, Shanika A. Karunasekera, Aaron Harwood et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 2019
Cited by 11
Where your photo is taken: Geolocation prediction for social images
Bo Liu, Quan Yuan, Gao Cong et al. · Journal of the Association for Information Science and Technology · 2014
Cited by 24