| Paper ID | IFS-2.3 |
| Paper Title |
Learning double-compression video fingerprints left from social media platforms |
| Authors |
Irene Amerini, Aris Anagnostopoulos, Luca Maiano, Sapienza University of Rome, Italy; Lorenzo Ricciardi Celsi, ELIS Consulting & Labs, Italy |
| 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 |
Social media and messaging apps have become a major communication platform. Multimedia contents promote improved user engagement and have thus become a very important communication tool. However, fake news and manipulated content can easily go viral, so, being able to verify the source of videos and images as well as to distinguish between native and downloaded content becomes essential. Most of the work performed so far on social media provenance has concentrated on images; in this paper, we propose a CNN architecture that analyzes video content to trace videos back to their social network of origin. The experiments demonstrate that stating platform provenance is possible for videos as well as images with very good accuracy. |
