LEADER 03510nam 22006373u 450 001 9910558485403321 005 20230221122429.0 010 $a981-16-7621-6 035 $a(CKB)5460000000187835 035 $aEBL6944947 035 $a(OCoLC)1308977816 035 $a(AU-PeEL)EBL6944947 035 $a(MiAaPQ)EBC6944947 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81636 035 $a(PPN)262168006 035 $a(EXLCZ)995460000000187835 100 $a20220617d2022|||| uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultimedia forensics /$feditors, Husrev T. Sencar, Luisa Verdoliva, Nasir D. Memon 210 $aSingapore $cSpringer$d2022 215 $a1 online resource (xii, 490 pages) $cillustrations (some color) 225 1 $aAdvances in computer vision and pattern recognition 300 $aDescription based upon print version of record. 311 1 $a981-16-7620-8 327 $aWhat'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 330 $aThis book is an open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field 410 0$aAdvances in computer vision and pattern recognition 606 $aDigital forensic science 606 $aMultimedia systems 610 $aMedia Forensics 610 $aDigital Image Forensics 610 $aVideo Forensics 610 $aSensor Noise (PRNU) 610 $aDeepfakes 610 $aDigital Integrity 610 $aVideo Tampering Detection 610 $aImage Tampering Detection 610 $aENF 610 $aCounter-Forensics 615 0$aDigital forensic science. 615 0$aMultimedia systems. 700 $aSencar$b Husrev Taha$4edt 701 $aSencar$b Husrev T$01058664 701 $aVerdoliva$b Luisa$01239632 701 $aMemon$b Nasir D$01058665 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910558485403321 996 $aMultimedia forensics$92914962 997 $aUNINA