Mastering Watermarking & Steganography: Protect Your Digital Content from Frame Attacks 🔐

Because of the large amount of frames, similarity between frames and temporal attacks (frame dropping,
frame averaging, frame swapping etc.), the process for video watermarking is more difficult than that for image
watermarking. Current image watermarking methods are limited to solve all these difficulties. We propose a
novel video watermarking system based on the Hidden Markov Model (HMM). This novel watermarking
scheme splits the video sequences into a Group of Pictures (GOP) with HMM. Portions of the binary
watermark are embedded into each GOP with a wavelet domain watermarking algorithm. The embedding
process is the standard additive algorithm [1] in low pass (LL) and high pass (HH) bands in the wavelet
domain. This novel system increases the robustness against geometric and temporal attacks, and increases
the quality of the watermarked video.