Multimedia Forensics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Sencar, Husrev Taha (Editor), Verdoliva, Luisa (Editor), Memon, Nasir (Editor)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
• Edition: 1st ed. 2022.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Data protection.; Computer vision.; Image processing.; Machine learning.; Multimedia systems.; Data and Information Security.; Computer Vision.; Image Processing.; Machine Learning.; Security Services.; Multimedia Information Systems.
• Online Access: Link to Metadata

This book is an open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.