This book is 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.