Multimedia Forensics / edited by Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon
Contributor(s): Sencar, Husrev Taha, editor literario | Verdoliva, Luisa, editor literario | Memon, Nasir, editor literario
Material type:
E-bookSeries: (Advances in Computer Vision and Pattern Recognition, 2191-6594).Publisher: Singapore : Springer International Publising, 2022Edition: First edition 2022.Description: 1 recurso en línea (XII, 490 páginas) : 151 ilustraciones, 137 ilustraciones a color.ISBN: 9789811676215.Subject: Delitos informáticos
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias Sociales | HV8079.C65 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.22092271 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
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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.
Open Access
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.
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