A Systematic Review: Zero-Watermarking Techniques Analysis for 3D Video Protection

This systematic review provides a detailed analysis of zero-watermarking techniques specifically designed for the safeguarding of 3D video content, which is presented in this study, emphasizing the distinct difficulties and intricacies involved in ensuring the security of digital assets in this specialized field. The research systematically examines various zero-watermarking methodologies through a comprehensive review and comparative analysis, assessing their performance metrics, practical applications, and effectiveness in real-world scenarios. Through a thorough examination and comparative analysis, the study methodically evaluates different zero-watermarking approaches, analyzing their performance indicators, practical uses, and efficacy in real-world situations. The research also examines the incorporation of state-of-the-art technologies, such as Generative Adversarial Networks (GANs) and blockchain, which signify notable progress in the domain of digital watermarking. The aforementioned technologies highlight the necessity for more resilient, undetectable, and secure methods to maintain the authenticity and ownership of 3D video material. This research presented a series of answers to the most significant challenges encountered by previous studies, such as picture quality decline and resistance to geometric assaults. It also addressed the issue of 3D model damage. Ultimately contributing to the development of more sophisticated and reliable digital rights management strategies, the findings of this research emphasize the crucial role of zero watermarking enhanced by artificial intelligence in addressing the specific challenges associated with 3D video content protection.