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oapen-20.500.12657-540432022-04-14T03:03:09Z Multimedia Forensics Sencar, Husrev Taha Verdoliva, Luisa Memon, Nasir Media Forensics Digital Image Forensics Video Forensics Sensor Noise (PRNU) Deepfakes Digital Integrity Video Tampering Detection Image Tampering Detection ENF Counter-Forensics bic Book Industry Communication::U Computing & information technology::UR Computer security bic Book Industry Communication::U Computing & information technology::UY Computer science::UYT Image processing bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision bic Book Industry Communication::T Technology, engineering, agriculture::TT Other technologies & applied sciences::TTB Applied optics::TTBM Imaging systems & technology bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning 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. 2022-04-13T15:09:23Z 2022-04-13T15:09:23Z 2022 book ONIX_20220413_9789811676215_38 9789811676215 https://library.oapen.org/handle/20.500.12657/54043 eng Advances in Computer Vision and Pattern Recognition application/pdf n/a 978-981-16-7621-5.pdf https://link.springer.com/978-981-16-7621-5 Springer Nature Springer Singapore 10.1007/978-981-16-7621-5 10.1007/978-981-16-7621-5 6c6992af-b843-4f46-859c-f6e9998e40d5 9789811676215 Springer Singapore 490 Singapore open access
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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.
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