Name
Title | ||
|---|---|---|
Spatio-Temporal Rich Model-Based Video Steganalysis on Cross Sections of Motion Vector Planes. |
Abstract | ||
|---|---|---|
A rich model-based motion vector (MV) steganalysis benefiting from both temporal and spatial correlations of MVs is proposed in this paper. The proposed steganalysis method has a substantially superior detection accuracy than the previous methods, even the targeted ones. The improvement in detection accuracy lies in several novel approaches introduced in this paper. First, it is shown that there i... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2567073 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Adaptation models,Correlation,Algorithm design and analysis,Kernel,Transform coding,Image coding,Decorrelation | Computer vision,Steganography,Algorithm design,Engineering and Physical Sciences,Pattern recognition,Image coding,Artificial intelligence,Steganalysis,Mathematics,Motion vector | Journal |
Volume | Issue | ISSN |
25 | 7 | 1057-7149 |
Citations | PageRank | References |
7 | 0.43 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kasim Tasdemir | 1 | 32 | 5.66 |
| Fatih Kurugollu | 2 | 322 | 30.45 |
| Sakir Sezer | 3 | 1010 | 84.22 |