000			03527nam a22004695i 4500
999			_c383189 _d383189
001			383189
003			ES-MaUEC
005			20230102122051.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			221126s2022 si | s |||| 0|eng d
020			_a9789811676215
024	7		_a10.1007/978-981-16-7621-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHV8079.C65 _b2022 EB
245	0	0	_aMultimedia Forensics _cedited by Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publising _c2022
300			_a1 recurso en línea (XII, 490 páginas) _b151 ilustraciones, 137 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Computer_2022
650		7	_2embne _9141254 _aDelitos informáticos
650		7	_2embne _9669495 _aProceso de imágenes
700	1		_aSencar, Husrev Taha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVerdoliva, Luisa _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMemon, Nasir _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811676208
776	0	8	_iPrinted edition: _z9789811676222
776	0	8	_iPrinted edition: _z9789811676239
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-7621-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eIG _zSI