Handbook of Digital Face Manipulation and Detection

This handbook represents the first comprehensive collection of research topics in the field of digital face manipulation and detection by a wide variety of experts from various research areas including computer vision, pattern recognition, biometrics and media forensics, among others. While being of...

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Detalhes bibliográficos
Autores: Rathgeb, Christian, Busch, Christoph, Tolosana Moranchel, Rubén, Vera Rodríguez, Rubén
Tipo de documento: livro
Data de publicação:2022
País:España
Recursos:Universidad Autónoma de Madrid
Repositório:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglês
OAI Identifier:oai:repositorio.uam.es:10486/711797
Acesso em linha:http://hdl.handle.net/10486/711797
https://dx.doi.org/10.1007/978-3-030-87664-7
Access Level:Acceso aberto
Palavra-chave:DeepFakes
Face Manipulation Detection
Media Forensic
Biometric Recognition
Image Processing and Pattern Recognition
Open Access
Telecomunicaciones
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spelling Handbook of Digital Face Manipulation and DetectionRathgeb, ChristianBusch, ChristophTolosana Moranchel, RubénVera Rodríguez, RubénDeepFakesFace Manipulation DetectionMedia ForensicBiometric RecognitionImage Processing and Pattern RecognitionOpen AccessTelecomunicacionesThis handbook represents the first comprehensive collection of research topics in the field of digital face manipulation and detection by a wide variety of experts from various research areas including computer vision, pattern recognition, biometrics and media forensics, among others. While being of primary interest to researchers in said fields, it appeals to a broad readership by providing detailed theoretical explanations to fundamentals as well as in-depth investigations of current research topics along with comprehensive experimental evaluations. In Part I of this handbook, the reader is provided with introductory overview chapters focusing on the topics of face image and video manipulations and detection (Chap. 1), the impact of different manipulations and alteration methods on face recognition systems (Chap. 2) and general multimedia forensics before the deep learning era (Chap. 3). These chapters serve as points of entry addressing readers wishing to gain a brief overview of the current state of the art. Part II deals with the generation of manipulated face content and its security implications on face recognition, including DeepFakes (Chaps. 4 and 5), face morphing (Chap. 6), adversarial face images (Chap. 7) and audio-to-video face generation (Chap. 8). Subsequently, Part III elaborates on face manipulation detection techniques, containing dedicated chapters on different state-of-the-art detection methods for synthetically generated face images (Chap. 9), DeepFakes videos (Chaps. 10– 14), morphed face images (Chaps. 15 and 16) and retouched face images (Chap. 17). Chapters in Part II and III delve deeper into the topics of digital face manipulation and detection and are oriented towards advanced readers. Eventually, Part IV focuses on further topics including the use of face manipulation for privacy enhancement and the detection thereof (Chap. 18), practical challenges of face manipulation in remote scenarios (Chap. 19) as well as social and ethical issues (Chap. 20). Finally, in a concluding chapter authored by different contributors to this handbook, open research problems and future trends are summarised (Chap. 21). We would like to express our thanks to the editors of the Springer book series Advances in Computer Vision and Pattern Recognition. We also would like to thank all of the authors for the smooth cooperation and their excellent contributions to this handbookThe work on this handbook was supported by the German Federal Ministry of Education and Research and the Hessian Ministry of Higher Education, Research, Science and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE and the projects PRIMA (H2020-MSCA-ITN-2019-860315), TRESPASS-ETN (H2020- MSCA-ITN-2019-860813), BIBECA (MINECO/FEDER RTI2018-101248-B-I00) and COST CA16101 (MULTI-FORESEE). Finally, we would like to thank our families and friends for their support and encouragement while we were working on this handbook.Springer ChamDepartamento de Tecnología Electrónica y de las ComunicacionesEscuela Politécnica Superior20222022-02-01bookhttp://purl.org/coar/resource_type/c_2f33VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookapplication/pdfhttp://hdl.handle.net/10486/711797https://dx.doi.org/10.1007/978-3-030-87664-7reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7117972026-06-23T12:46:27Z
dc.title.none.fl_str_mv Handbook of Digital Face Manipulation and Detection
title Handbook of Digital Face Manipulation and Detection
spellingShingle Handbook of Digital Face Manipulation and Detection
Rathgeb, Christian
DeepFakes
Face Manipulation Detection
Media Forensic
Biometric Recognition
Image Processing and Pattern Recognition
Open Access
Telecomunicaciones
title_short Handbook of Digital Face Manipulation and Detection
title_full Handbook of Digital Face Manipulation and Detection
title_fullStr Handbook of Digital Face Manipulation and Detection
title_full_unstemmed Handbook of Digital Face Manipulation and Detection
title_sort Handbook of Digital Face Manipulation and Detection
dc.creator.none.fl_str_mv Rathgeb, Christian
Busch, Christoph
Tolosana Moranchel, Rubén
Vera Rodríguez, Rubén
author Rathgeb, Christian
author_facet Rathgeb, Christian
Busch, Christoph
Tolosana Moranchel, Rubén
Vera Rodríguez, Rubén
author_role author
author2 Busch, Christoph
Tolosana Moranchel, Rubén
Vera Rodríguez, Rubén
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Tecnología Electrónica y de las Comunicaciones
Escuela Politécnica Superior
dc.subject.none.fl_str_mv DeepFakes
Face Manipulation Detection
Media Forensic
Biometric Recognition
Image Processing and Pattern Recognition
Open Access
Telecomunicaciones
topic DeepFakes
Face Manipulation Detection
Media Forensic
Biometric Recognition
Image Processing and Pattern Recognition
Open Access
Telecomunicaciones
description This handbook represents the first comprehensive collection of research topics in the field of digital face manipulation and detection by a wide variety of experts from various research areas including computer vision, pattern recognition, biometrics and media forensics, among others. While being of primary interest to researchers in said fields, it appeals to a broad readership by providing detailed theoretical explanations to fundamentals as well as in-depth investigations of current research topics along with comprehensive experimental evaluations. In Part I of this handbook, the reader is provided with introductory overview chapters focusing on the topics of face image and video manipulations and detection (Chap. 1), the impact of different manipulations and alteration methods on face recognition systems (Chap. 2) and general multimedia forensics before the deep learning era (Chap. 3). These chapters serve as points of entry addressing readers wishing to gain a brief overview of the current state of the art. Part II deals with the generation of manipulated face content and its security implications on face recognition, including DeepFakes (Chaps. 4 and 5), face morphing (Chap. 6), adversarial face images (Chap. 7) and audio-to-video face generation (Chap. 8). Subsequently, Part III elaborates on face manipulation detection techniques, containing dedicated chapters on different state-of-the-art detection methods for synthetically generated face images (Chap. 9), DeepFakes videos (Chaps. 10– 14), morphed face images (Chaps. 15 and 16) and retouched face images (Chap. 17). Chapters in Part II and III delve deeper into the topics of digital face manipulation and detection and are oriented towards advanced readers. Eventually, Part IV focuses on further topics including the use of face manipulation for privacy enhancement and the detection thereof (Chap. 18), practical challenges of face manipulation in remote scenarios (Chap. 19) as well as social and ethical issues (Chap. 20). Finally, in a concluding chapter authored by different contributors to this handbook, open research problems and future trends are summarised (Chap. 21). We would like to express our thanks to the editors of the Springer book series Advances in Computer Vision and Pattern Recognition. We also would like to thank all of the authors for the smooth cooperation and their excellent contributions to this handbook
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-02-01
dc.type.none.fl_str_mv book
http://purl.org/coar/resource_type/c_2f33
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/book
format book
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/711797
https://dx.doi.org/10.1007/978-3-030-87664-7
url http://hdl.handle.net/10486/711797
https://dx.doi.org/10.1007/978-3-030-87664-7
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Cham
publisher.none.fl_str_mv Springer Cham
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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