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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | He Wei Sun Jin-guang Yang Zhong-xu Yang Di |
| Copyright Year | 2010 |
| Abstract | Present an anti-geometric attacks video watermarking scheme based on normalization of pseudo-Zernike moment. Employing the RST invariant property of improved Pseudo-Zernike moment magnitudes, the watermark image is embedded into the centre circle area of I frame in the spatial domain after reconstruction. Because of much high similarity between video frames, an optimal moment set is selected on the basis of I frame and the adjacent P frame. In detection, the improved Pseudo-Zernike moments of the possibly attacked I frame are computed first and the ones of I frame are substituted by that of the adjacent P frame selected in the optimal moment set as the key to extract watermark. Experimental results show this scheme can get good quality images, improve the algorithm’s dependence on original data, and makes the watermark more robustness to geometric attacks, especially for scale attacks. |
| Starting Page | 1080 |
| Ending Page | 1082 |
| File Size | 418510 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424450015 |
| e-ISBN | 9781424457397 |
| DOI | 10.1109/ICMTMA.2010.637 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mechatronics Automation Shape Digital images Area measurement Watermarking Normalization of pseudo-Zernike momentIntroduction Helium Videoconference Image reconstruction Video watermarking Geometric attack Robustness |
| Content Type | Text |
| Resource Type | Article |
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