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Handbook of digital face manipulatio...

Rathgeb, Christian.

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Handbook of digital face manipulation and detection = from DeepFakes to morphing attacks /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of digital face manipulation and detection/ edited by Christian Rathgeb ... [et al.].
Reminder of title:	from DeepFakes to morphing attacks /
other author:	Rathgeb, Christian.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	ix, 487 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Part 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.
Contained By:	Springer Nature eBook
Subject:	Image processing - Digital techniques. -
Online resource:	https://doi.org/10.1007/978-3-030-87664-7
ISBN:	9783030876647

Handbook of digital face manipulation and detection = from DeepFakes to morphing attacks /
Handbook of digital face manipulation and detectionfrom DeepFakes to morphing attacks /[electronic resource] :edited by Christian Rathgeb ... [et al.]. - Cham :Springer International Publishing :2022. - ix, 487 p. :ill. (chiefly col.), digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6594. - Advances in computer vision and pattern recognition..

Part 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.

Open access.

This 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.

ISBN: 9783030876647

Standard No.: 10.1007/978-3-030-87664-7doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .H36 2022

Dewey Class. No.: 621.367

Handbook of digital face manipulation and detection = from DeepFakes to morphing attacks /
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245 0 0 $a Handbook of digital face manipulation and detection $h [electronic resource] : $b from DeepFakes to morphing attacks / $c edited by Christian Rathgeb ... [et al.].
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490 1 $a Advances in computer vision and pattern recognition, $x 2191-6594
505 0 $a Part 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 $a Open access.
520 $a This 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.
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