Name
Abstract | ||
|---|---|---|
Digital copyright protection has become increasingly important in recent times due to the rapid growth of the Internet and the proliferation of P2P technologies. Copyright protection of digital images and videos are of particular interest since they can easily be pirated and distributed illegally across networks. Existing watermarking methods can embed a signature into a digital image and tend to be robust against signal noise and but less so against geometric transforms. Methods that are more robust against geometric manipulation are often implemented at great computational cost. This paper proposes a lower cost method using point patterns inspired in part by automated star trackers used in astronomy. The method is evaluated and presents some advantages over existing approaches. Weaknesses of the method and areas for future work are also discussed. |
Year | Venue | Keywords |
|---|---|---|
2007 | SIP | great computational cost,watermarking method,geometric manipulation,future work,lower cost method,digital image,star pattern,copyright protection,geometrically robust image,p2p technology,digital copyright protection,automated star,watermarking,p2p,digital image processing |
Field | DocType | ISSN |
BitTorrent tracker,Computer vision,Digital watermarking,Computer science,Digital image,Artificial intelligence,Digital image processing,The Internet | Conference | 1482-7921 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John R. Zhang | 1 | 58 | 4.90 |
| Jon G. Rokne | 2 | 263 | 45.63 |