Multimedia Watermarking

Multimedia watermarking is a key ingredient for integrity verification, transaction tracking, copyright protection, authentication, copy control, and forgery detection. This book provides an extensive survey from the fundamentals to cutting-edge digital watermarking techniques. One of the crucial aspects of multimedia security is the ability to detect forged/tampered regions from the multimedia object. In this book, we emphasized how tampering detection, localization, and recovery of manipulated information not only limits but also eliminates the scope of unauthorized usage. Finally, this book provides the groundwork for understanding the role of intelligent machines and blockchain in achieving better security in multimedia watermarking.

Readers will find it easy to comprehend the wide variety of applications, theoretical principles, and effective solutions for protecting intellectual rights soon after reading this book.

Provides recent modern techniques, applications, and theoretical principles in the field of multimedia watermarking Focus on copyright protection, authentication, tamper detection, localization, and self recovery aspects Presents the cutting-edge techniques using neural network- and blockchain-enabled watermarking

Autorentext
Dr. Aditya Kumar Sahu is currently working as an Associate Professor in the School of Computing at Amrita School of Computing, Amaravati. Andhra Pradesh, India. He has more than 16 years of teaching and research experience. He is working in the fields of Multimedia Forensics, Digital Image Watermarking, Image Tamper Detection and Localization, Image Steganography, Reversible Data Hiding, Quantum Watermarking, Convolution Neural Network Data hiding, Deepfake detection, Information Security, and Image Processing. Dr. Sahu was Listed in the World's Top 2% Scientists list in 2021 and 2023 by Elsevier and Stanford University. Dr. Sahu has completed Ph.D. in Digital Image Steganography and Steganalysis in 2020. He received M. Tech and B. Tech in 2011 and 2007, respectively.

Inhalt

1. Enhancing Security and Ownership Protection of Neural Networks Using Watermarking Techniques: A Systematic Literature Review Using PRISMA.- 2. Digital Watermarking Pathway to Secure!.- 3. Secured Digital Watermarking using Neural Networks.- 4. The Impact of Denoising in Watermarking Robustness.- 5. A Watermark Challenge: Synthetic Speech Detection.- 6. Role of Blockchain and Watermarking towards Cyber Security.- 7. Contemporary Improvements in Enhancing the Watermarking Techniques: A Deep Perspective.