000 04079nam a22006375i 4500
001 978-3-030-87664-7
003 DE-He213
005 20220929150352.0
007 cr nn 008mamaa
008 220131s2022 sz | s |||| 0|eng d
020 _a9783030876647
_9978-3-030-87664-7
024 7 _a10.1007/978-3-030-87664-7
_2doi
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQP
_2thema
082 0 4 _a006.248
_223
245 1 0 _aHandbook of digital face manipulation and detection
_h[electronic resource] :
_bfrom DeepFakes to morphing attacks /
_cedited by Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aIX, 487 p. 173 illus., 162 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 _aPart I - Introduction: 1. Digital Face Manipulation: An Introduction -- 2. Face Manipulation in Biometric Systems -- 3. Face Manipulation in Media Forensics -- Part II - Face Manipulation Detection Methods: 4. DeepFakes Manipulation -- 5. DeepFakes Detection -- 6. Attacking Face Recognition Systems with DeepFakes.
506 0 _aOpen Access
520 _aThis open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
650 0 _aBiometric identification.
_9109848
650 0 _aImage processing-Digital techniques.
_9110890
650 0 _aComputer vision.
650 0 _aData protection.
_9110486
650 0 _aImage processing.
650 1 4 _aBiometrics.
_9111802
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_9110893
650 2 4 _aData and Information Security.
_9110489
650 2 4 _aImage Processing.
700 1 _aRathgeb, Christian.
_9111803
700 1 _aTolosana, Ruben.
_9111804
700 1 _aVera-Rodriguez, Ruben.
_9111805
700 1 _aBusch, Christoph.
_9111806
710 2 _aSpringerLink (Online service)
_9107205
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030876630
776 0 8 _iPrinted edition:
_z9783030876654
776 0 8 _iPrinted edition:
_z9783030876661
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6594
_9111332
856 4 0 _yLink to Springer open access ebook
_uhttps://doi.org/10.1007/978-3-030-87664-7
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 _c51001
_d51001