Abstract
Video watermarking enables the users to share the digital contents in public domain without any issue. However, video watermarking is also infected by various attacks that can even destroy the hidden watermark. The security, robustness and reliability are the key challenges of any Video watermarking technique. In this paper, such a robust and dynamic video watermarking framework is presented that can handle most of the existing issues. In this framework, the video is hiding on the selective frames and the preference of frames is done based on structural feature evaluation. After performing the frame selection, the featured analysis is accomplished on each frame to identify the effective cover blocks. The structure feature analysis based rules are applied to identify the most secure region over the frame. In the final stage, the histogram shift method is applied to perform data hiding. To improve the security, instead of hiding the complete image, the ECC (Elliptic Curve Cryptography) encrypted image is watermarked within the video frames. The analysis is performed on real time videos. The analysis results are generated in terms of MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio), SSIM (Structural Similarity Measure) and BCR (Bit Correct Ratio) parameters. The results identified that the proposed model has improved the effectiveness, robustness and security against various attacks. The comparative results are also validated against the DCT and DCT-SVD based video watermarking methods.
Highlights
Videos are gaining the popularity in terms of telefilms, advertisements, lectures, product or company endorsements, etc
The model is applied on real time videos with different frame count
A frame selective and dynamic pattern based model is presented to improve the effectiveness of video watermarking
Summary
Videos are gaining the popularity in terms of telefilms, advertisements, lectures, product or company endorsements, etc. These all kinds of videos are the proprietary of an individual or firm. Anyone can claim digital contents or alter it to benefit them. Watermarking is one such control to restrict the authentication and authorization of such publicly distributed contents. The video watermarking is getting popular in recent years to secure these digital contents from illegal claim and redistribution. Video watermarking is done in recent years by the researchers using different methods. These methods are specific to the application domain as well as algorithmic methods. The temporal features, spatio-temporal features, ROI (Region of Interest) explicit watermarking and frame selective watermarking are the common methods defined by the researchers to improve the watermark security [1]
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