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Titlebook: Handbook of Digital Face Manipulation and Detection; From DeepFakes to Mo Christian Rathgeb,Ruben Tolosana,Christoph Busch Book‘‘‘‘‘‘‘‘ 202

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发表于 2025-3-21 16:18:08 | 显示全部楼层 |阅读模式
书目名称Handbook of Digital Face Manipulation and Detection
副标题From DeepFakes to Mo
编辑Christian Rathgeb,Ruben Tolosana,Christoph Busch
视频videohttp://file.papertrans.cn/422/421159/421159.mp4
概述Is the first comprehensive book on digital face manipulation detection.Combines for the first time both biometrics and media forensics fields.Includes the point of view of both academic institutions a
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Handbook of Digital Face Manipulation and Detection; From DeepFakes to Mo Christian Rathgeb,Ruben Tolosana,Christoph Busch Book‘‘‘‘‘‘‘‘ 202
描述.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..
出版日期Book‘‘‘‘‘‘‘‘ 2022
关键词DeepFakes; Face Manipulation Detection; Media Forensic; Biometric Recognition; Image Processing and Patt
版次1
doihttps://doi.org/10.1007/978-3-030-87664-7
isbn_softcover978-3-030-87666-1
isbn_ebook978-3-030-87664-7Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
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https://doi.org/10.1007/978-3-658-22513-1dentify inconsistencies with higher accuracy. In this chapter, we introduce several approaches to detect deepfakes. These approaches leverage different data modalities, including video and audio. We show that the presented methods achieve accurate detection for various large-scale datasets.
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发表于 2025-3-22 19:59:20 | 显示全部楼层
2191-6586 s.Includes the point of view of both academic institutions 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
发表于 2025-3-23 01:06:30 | 显示全部楼层
Regine Breusing,Solveig Steinmann-Lindner how dangerous deepfakes are for both human and computer visions by showing how well these videos can fool face recognition algorithms and naïve human subjects. We also show how well the state-of-the-art deepfake detection algorithms can detect deepfakes and whether they can outperform humans.
发表于 2025-3-23 01:27:25 | 显示全部楼层
The Threat of Deepfakes to Computer and Human Visions how dangerous deepfakes are for both human and computer visions by showing how well these videos can fool face recognition algorithms and naïve human subjects. We also show how well the state-of-the-art deepfake detection algorithms can detect deepfakes and whether they can outperform humans.
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