Videos versus still images: Asymmetric sensor pattern noise comparison on mobile phones
- Nowadays, the most employed devices for recoding videos or capturing images are undoubtedly the smartphones. Our work investigates the application of source camera identification on mobile phones. We present a dataset entirely collected by mobile phones. The dataset contains both still images and videos collected by 67 different smartphones. Part of the images consists in photos of uniform backgrounds, especially collected for the computation of the RSPN. Identifying the source camera given a video is particularly challenging due to the strong video compression. The experiments reported in this paper, show the large variation in performance when testing an highly accurate technique on still images and videos.
| Verfasserangaben: | Chiara Galdi, Frank HartungORCiD, Jean-Luc Dugelay |
|---|---|
| DOI: | https://doi.org/10.2352/ISSN.2470-1173.2017.7.MWSF-331 |
| ISSN: | 2470-1173 |
| Titel des übergeordneten Werkes (Englisch): | Electronic Imaging |
| Verlag: | Society for Imaging Science and Technology |
| Verlagsort: | Springfield, Virginia |
| Dokumentart: | Konferenzveröffentlichung |
| Sprache: | Englisch |
| Erscheinungsjahr: | 2017 |
| Datum der Publikation (Server): | 22.08.2023 |
| Freies Schlagwort / Tag: | Image Database; Image Forensics; Mobile Phones |
| Erste Seite: | 100 |
| Letzte Seite: | 103 |
| Bemerkung: | IS&T International Symposium on Electronic Imaging 2017 Media Watermarking, Security, and Forensics 2017 |
| Link: | https://doi.org/10.2352/ISSN.2470-1173.2017.7.MWSF-331 |
| Zugriffsart: | weltweit |
| Fachbereiche und Einrichtungen: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
| FH Aachen / ECSM European Center for Sustainable Mobility |
