New Frontiers in Communication and Intelligent Systems
A Robust Algorithm of Digital Video Watermarking using ELM
Authors: Shital Gupta and Megha Kamble
Publishing Date: 06-05-2022
ISBN: 978-81-95502-00-4
Abstract
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.
Keywords
ELM (Extreme Learning Machine), Video Watermarking, hybrid transformations, Geometric attack.
Cite as
Shital Gupta and Megha Kamble, "A Robust Algorithm of Digital Video Watermarking using ELM", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2022, pp. 649-659. https://doi.org/10.52458/978-81-95502-00-4-66