A Proposed Robust Video Watermarking Algorithm: Enhanced Extraction from Geometric Attacks

Author(s):  
R. Maharjan ◽  
Abeer Alsadoon ◽  
P.W.C. Prasad ◽  
A. M. S. Rahma ◽  
A. Elchouemi ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhongze Lv ◽  
Hu Guan ◽  
Ying Huang ◽  
Shuwu Zhang ◽  
Yang Zheng

As the Internet and communication technologies have developed quickly, the spread and usage of online video content have become easier, which results in major infringement problems. While video watermarking may be a viable solution for digital video content copyright protection, overcoming geometric attacks is a significant challenge. Although feature point-based watermarking algorithms are expected to be very resistant to these attacks, they are sensitive to feature region localization errors, resulting in poor watermark extraction accuracy. To solve this issue, we introduce the template to enhance the location accuracy of feature point-based watermarking. Furthermore, a scene change-based frame allocation method is presented, which arranges the template and the watermark to be embedded into different frames and eliminates their mutual interference, enhancing the performance of the proposed algorithm. According to the experimental results, our algorithm outperforms state-of-the-art methods in terms of robustness against geometric attacks under close imperceptibility.


2018 ◽  
Vol 11 (40) ◽  
pp. 1-23
Author(s):  
R. Maharjan ◽  
Alsadoon Abeer ◽  
P. W. C. Prasad ◽  
A. M. S. Rahma ◽  
A. Elchouemi ◽  
...  

Author(s):  
Hedley Morris ◽  
Mohammad Eyadat ◽  
Imad Muhi

A digital media product must be protected with a watermark. This mark must be resilient yet transparent to legitimate users of the media. There are those who seek to cloud the ownership of digital media by tampering with the embedded marks. For example, a small rotation, scale change or cropping of an image can make it difficult, or impossible, for the legitimate owner to recover the watermark. This is called a geometric attack. The authors present a new paradigm for rendering any watermarking scheme resistant to such geometric attacks. This is done by means of a new image transform to a Rotation, Scaling, and Translation (RST) invariant domain based on ideas from shape theory. They also propose extensions of this technique to video watermarking. Finally, the authors provide an example of how these ‘shape based’ concepts can be extended to more general relational databases provided an abstract notion of shape is employed.


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