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dc.contributor.editorSencar, Husrev Taha
dc.contributor.editorVerdoliva, Luisa
dc.contributor.editorMemon, Nasir
dc.date.accessioned2022-04-13T15:09:23Z
dc.date.available2022-04-13T15:09:23Z
dc.date.issued2022
dc.identifierONIX_20220413_9789811676215_38
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/54043
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesAdvances in Computer Vision and Pattern Recognition
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UR Computer securityen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processingen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer visionen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTB Applied optics::TTBM Imaging systems and technologyen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learningen_US
dc.subject.otherMedia Forensics
dc.subject.otherDigital Image Forensics
dc.subject.otherVideo Forensics
dc.subject.otherSensor Noise (PRNU)
dc.subject.otherDeepfakes
dc.subject.otherDigital Integrity
dc.subject.otherVideo Tampering Detection
dc.subject.otherImage Tampering Detection
dc.subject.otherENF
dc.subject.otherCounter-Forensics
dc.titleMultimedia Forensics
dc.typebook
oapen.identifier.doi10.1007/978-981-16-7621-5
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isbn9789811676215
oapen.imprintSpringer Singapore
oapen.pages490
oapen.place.publicationSingapore


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