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Multimedia Forensics / edited by Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Advances in computer vision and pattern recognition 2191-6594
- Advances in Computer Vision and Pattern Recognition, 2191-6594
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Data and Information Security.
- Computer Vision.
- Image Processing.
- Machine Learning.
- Security Services.
- Multimedia Information Systems.
- Physical Description:
- 1 online resource (XII, 490 pages) : 151 illustrations, 137 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-16-7621-5
- 9789811676215
- Access Restriction:
- Restricted for use by site license.
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