Name
Title | ||
|---|---|---|
A Shape-Preserving Method for Watermarking 2D Vector Maps Based on Statistic Detection |
Abstract | ||
|---|---|---|
A statistic based algorithm for watermarking 2D vector maps is proposed. Instead of 2D coordinates, a one-dimensional distance sequence extracted from the original map is used as the cover data to achieve the shape-preserving ability. The statistical feature of the cover data is utilized for data embedding. Experiment results indicate the scheme's better performance in invisibility, as well as its robustness to certain attacks. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/ietisy/e89-d.3.1290 | IEICE Transactions |
Keywords | Field | DocType |
tain attacks. key words: feature point,certain attack,map simplification,shape-preserving method,shape-preserving ability,experiment result,statistic detection,shape-preserving,vector map,one-dimensional distance sequence,cover data,invisibility,statistical feature,better performance,original map | Computer vision,Digital watermarking,Embedding,Statistic,Pattern recognition,Computer science,Image processing,Robustness (computer science),Feature extraction,Artificial intelligence,Invisibility,Vector map | Journal |
Volume | Issue | ISSN |
E89-D | 3 | 1745-1361 |
Citations | PageRank | References |
9 | 0.63 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ChengYong Shao | 1 | 34 | 2.55 |
| Hai Long Wang | 2 | 9 | 0.97 |
| Xiamu Niu | 3 | 754 | 91.72 |
| XiaoTong Wang | 4 | 51 | 4.85 |