Name
Abstract | ||
|---|---|---|
This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PRNU correlation. Comparative evaluations show that this approach outperforms those based on brute-force and particle swarm optimization in terms of reliability, accuracy and speed. The proposed scene-based approach for PRNU pattern alignment is suitable for video source identification in multimedia forensics applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICIP.2019.8802990 | 2019 IEEE International Conference on Image Processing (ICIP) |
Keywords | DocType | ISSN |
PRNU,SIFT matching,image registration,video stabilization | Conference | 1522-4880 |
ISBN | Citations | PageRank |
978-1-5386-6250-2 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Bellavia | 1 | 39 | 9.26 |
| Iuliani, M. | 2 | 31 | 5.24 |
| Marco Fanfani | 3 | 7 | 5.22 |
| carlo colombo | 4 | 4 | 2.95 |
| Alessandro Piva | 5 | 2231 | 157.21 |