A comprehensive overview of deep learning based video watermarking: current works, challenges and future trends

Digital video watermarking is a crucial method for protecting intellectual property, verifying authenticity, and ensuring data integrity in an era where video content is widely shared and distributed. With the advent of deep learning, video watermarking techniques have witnessed significant advancements, offering improved robustness and invisibility. This survey paper aims to provide a comprehensive overview of the latest developments in video watermarking with a focus on deep learning-based approaches. We categorize the surveyed techniques based on network architectures and embedding domains and thoroughly examine and compare the most widely used deep learning-based video watermarking techniques. Moreover, we discuss practical challenges and potential future directions to inspire further research in this dynamic field.