UID:
almahu_9949272203302882
Format:
XII, 490 p. 151 illus., 137 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811676215
Series Statement:
Advances in Computer Vision and Pattern Recognition,
Content:
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.
Note:
What's In This Book and Why? -- Media Forensics in the Age of Disinformation -- Computational Imaging -- Sensor Fingerprints: Camera Identification and Beyond -- Source Camera Attribution from Videos -- Source Camera Model Identification -- GAN Fingerprints in Face Image Synthesis -- Physical Integrity.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811676208
Additional Edition:
Printed edition: ISBN 9789811676222
Additional Edition:
Printed edition: ISBN 9789811676239
Language:
English
DOI:
10.1007/978-981-16-7621-5
URL:
https://doi.org/10.1007/978-981-16-7621-5
