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Multimedia forensics / / editors, Husrev T. Sencar, Luisa Verdoliva, Nasir D. Memon



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Autore: Sencar Husrev Taha Visualizza persona
Titolo: Multimedia forensics / / editors, Husrev T. Sencar, Luisa Verdoliva, Nasir D. Memon Visualizza cluster
Pubblicazione: Singapore, : Springer, 2022
Descrizione fisica: 1 online resource (xii, 490 pages) : illustrations (some color)
Soggetto topico: Digital forensic science
Multimedia systems
Soggetto non controllato: Media Forensics
Digital Image Forensics
Video Forensics
Sensor Noise (PRNU)
Deepfakes
Digital Integrity
Video Tampering Detection
Image Tampering Detection
ENF
Counter-Forensics
Altri autori: SencarHusrev T  
VerdolivaLuisa  
MemonNasir D  
Note generali: Description based upon print version of record.
Nota di contenuto: 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
Sommario/riassunto: 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
Titolo autorizzato: Multimedia forensics  Visualizza cluster
ISBN: 981-16-7621-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996472065203316
Lo trovi qui: Univ. di Salerno
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Serie: Advances in computer vision and pattern recognition