Name
Abstract | ||
|---|---|---|
In this paper, we introduce a new watermarking algorithm to embed an invisible watermark into the intra-frames of an MPEG video sequence. Unlike previous methods where each video frame is marked separately, our proposed technique uses high-order tensor decomposition of videos. The key idea behind our approach is to represent a fixed number of the intra-frames as a 3D tensor with two dimensions in space and one dimension in time. Then we modify the singular values of the 3D tensor, which have a good stability and represent the video properties. The main attractive features of this approach are simplicity and robustness. The experimental results show the robustness of the proposed scheme against the most common attacks including geometric transformations, adaptive random noise, low pass filtering, histogram equalization, frame dropping, frame swapping, and frame averaging. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74260-9_69 | ICIAR |
Keywords | Field | DocType |
common attack,tensor singular value decomposition,video property,frame averaging,proposed technique,mpeg video sequence,proposed scheme,adaptive random noise,high-order tensor decomposition,video frame,singular value,histogram equalization,two dimensions,low pass filter,singular value decomposition | Computer vision,Singular value decomposition,Digital watermarking,Singular value,Tensor,Computer science,Transformation geometry,Robustness (computer science),Watermark,Artificial intelligence,Histogram equalization | Conference |
Volume | ISSN | ISBN |
4633 | 0302-9743 | 3-540-74258-1 |
Citations | PageRank | References |
13 | 1.36 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emad E. Abdallah | 1 | 112 | 12.57 |
| A. Ben Hamza | 2 | 483 | 42.24 |
| Prabir Bhattacharya | 3 | 1010 | 147.90 |