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020 _a9789811676215
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024 7 _a10.1007/978-981-16-7621-5
_2doi
050 4 _aQA76.9.A25
072 7 _aUR
_2bicssc
072 7 _aUTN
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072 7 _aCOM053000
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072 7 _aUR
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072 7 _aUTN
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082 0 4 _a005.8
_223
245 1 0 _aMultimedia Forensics
_h[electronic resource] /
_cedited by Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXII, 490 p. 151 illus., 137 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6594
505 0 _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.
506 0 _aOpen Access
520 _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.
650 0 _aData protection.
650 0 _aComputer vision.
650 0 _aImage processing.
650 0 _aMachine learning.
650 0 _aMultimedia systems.
650 1 4 _aData and Information Security.
650 2 4 _aComputer Vision.
650 2 4 _aImage Processing.
650 2 4 _aMachine Learning.
650 2 4 _aSecurity Services.
650 2 4 _aMultimedia Information Systems.
700 1 _aSencar, Husrev Taha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVerdoliva, Luisa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMemon, Nasir.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811676208
776 0 8 _iPrinted edition:
_z9789811676222
776 0 8 _iPrinted edition:
_z9789811676239
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6594
856 4 0 _uhttps://doi.org/10.1007/978-981-16-7621-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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