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    Handbook of Digital Face Manipulation and Detection

    From DeepFakes to Morphing Attacks

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    Contributor(s)
    Rathgeb, Christian (editor)
    Tolosana, Ruben (editor)
    Vera-Rodriguez, Ruben (editor)
    Busch, Christoph (editor)
    Language
    English
    Show full item record
    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/52835
    Keywords
    DeepFakes; Face Manipulation Detection; Media Forensic; Biometric Recognition; Image Processing and Pattern Recognition; Open Access
    DOI
    10.1007/978-3-030-87664-7
    ISBN
    9783030876647, 9783030876647
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2022
    Imprint
    Springer International Publishing
    Series
    Advances in Computer Vision and Pattern Recognition,
    Classification
    Pattern recognition
    Computer vision
    Computer security
    Imaging systems and technology
    Pages
    487
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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