A Robust Algorithm of Digital Video Watermarking using ELM
Shital Gupta, Megha Kamble · Soft Computing Research Society eBooks · 2021
Image watermarking for copyright protection has become a widely studied subject with the sprawl of pirated content. A color, a monochrome – gray scale or a binary may be a watermark. The insertion of watermarks may be performed in a video domain unencoded or encoded. A robust technique of digital video watermarking using machine learning approach is based on Extreme Learning Machine (ELM) is proposed. Using the properties of hybrid transformations, robust features and robust zero watermarks can be extracted from videos can be built. Experimental findings show that the proposed algorithm is robust in high-efficiency video coding attacks with various parameters of quantization due the fast processing of frames. Regular image processing assaults, geometric attacks, frame-based attacks, and hybrid attacks can all be thwarted by this approach. Comparatively, the suggested video watermarking method can more accurately and completely recreate watermarking pictures.