Name
Abstract | ||
|---|---|---|
Recently, we demonstrated that random projections can provide an extremely compact representation of a camera fingerprint without significantly affecting the matching performance. In this paper, we propose a new construction that makes random projections of camera fingerprints scale robust. The proposed method maps the compressed fingerprint of a resealed image to the compressed fingerprint of the original image, resealed by the same factor. In this way, fingerprints obtained from resealed images can be directly matched in the compressed domain, which is much more efficient than existing scale-robust approaches. Experimental results on the publicly available Dresden database show that the proposed technique is robust to a wide range of scale transformations. Moreover, robustness can be further improved by providing reference scales in the database, with a small additional storage cost. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | PRNU, random projections |
Field | DocType | ISSN |
Computer vision,Pattern recognition,Computer science,Image coding,Robustness (computer science),Fingerprint,Artificial intelligence | Conference | 1520-6149 |
Citations | PageRank | References |
1 | 0.35 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego Valsesia | 1 | 63 | 9.82 |
| Giulio Coluccia | 2 | 42 | 7.20 |
| Tiziano Bianchi | 3 | 1003 | 62.55 |
| Enrico Magli | 4 | 1319 | 114.81 |