Back to Search
Start Over
Multimedia Forensics
- Publication Year :
- 2022
- Publisher :
- Singapore: Springer Nature; Springer Singapore, 2022.
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- Language :
- English
- Database :
- OAPEN Library
- Notes :
- ONIX_20220413_9789811676215_38, , https://link.springer.com/978-981-16-7621-5
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.54043
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-981-16-7621-5