000			04196nam a22006735i 4500
001			978-981-16-7621-5
003			DE-He213
005			20220929150215.0
007			cr nn 008mamaa
008			220401s2022 si | s |||| 0|eng d
020			_a9789811676215 _9978-981-16-7621-5
024	7		_a10.1007/978-981-16-7621-5 _2doi
072		7	_aUR _2bicssc
072		7	_aUTN _2bicssc
072		7	_aCOM053000 _2bisacsh
072		7	_aUR _2thema
072		7	_aUTN _2thema
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			_btxt
337			_bc
338			_bcr
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. _9110486
650		0	_aComputer vision.
650		0	_aImage processing. _9111324
650		0	_aMachine learning. _9106423
650		0	_aMultimedia systems. _9111325
650	1	4	_aData and Information Security. _9110489
650	2	4	_aComputer Vision.
650	2	4	_aImage Processing. _9111326
650	2	4	_aMachine Learning. _9106423
650	2	4	_aSecurity Services. _9111327
650	2	4	_aMultimedia Information Systems. _9111328
700	1		_aSencar, Husrev Taha. _9111329
700	1		_aVerdoliva, Luisa. _9111330
700	1		_aMemon, Nasir. _9111331
710	2		_aSpringerLink (Online service) _9107205
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 _9111332
856	4	0	_yLink to Springer open access ebook _uhttps://doi.org/10.1007/978-981-16-7621-5
856	4	0	_ySend a message to library staff if access to this online resource is unavailable _uhttps://tinyurl.com/52eeu77j
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
912			_aZDB-2-SOB
999			_c50917 _d50917