| Paper ID | IFS-2.6 |
| Paper Title |
EFFECT OF VIDEO PIXEL-BINNING ON SOURCE ATTRIBUTION OF MIXED MEDIA |
| Authors |
Samet Taspinar, Overjet AI, United States; Manoranjan Mohanty, University of Technology Sydney, Australia; Nasir Memon, New York University Abu Dhabi, United Arab Emirates |
| Session | IFS-2: Multimedia Forensics 2 |
| Location | Gather.Town |
| Session Time: | Tuesday, 08 June, 13:00 - 13:45 |
| Presentation Time: | Tuesday, 08 June, 13:00 - 13:45 |
| Presentation |
Poster
|
| Topic |
Information Forensics and Security: [MMF] Multimedia Forensics |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Photo Response Non-Uniformity (PRNU) noise obtained from images or videos is used as a camera fingerprint to attribute visual objects captured by a camera. The PRNU-based source attribution method, however, fails when there is misalignment between the fingerprint and the query object. One example of such a misalignment, which has been overlooked in the field, is caused by the in-camera resizing technique that a video may have been subjected to. This paper investigates the attribution of visual media in the context of matching a video query object to an image fingerprint or vice versa. Specifically this paper focuses on improving camera attribution performance by taking into account the effects of binning, a commonly used in-camera resizing technique applied to video. We experimentally show that the True Positive Rate (TPR) obtained when binning is considered is approximately 3% higher. |
