[PDF] Handbook Of Digital Face Manipulation And Detection - eBooks Review

Handbook Of Digital Face Manipulation And Detection


Handbook Of Digital Face Manipulation And Detection
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Handbook Of Digital Face Manipulation And Detection


Handbook Of Digital Face Manipulation And Detection
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Author : Christian Rathgeb
language : en
Publisher: Springer Nature
Release Date : 2022-01-31

Handbook Of Digital Face Manipulation And Detection written by Christian Rathgeb and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Computers categories.


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.



Biometric Systems


Biometric Systems
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Author : James L. Wayman
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-09-20

Biometric Systems written by James L. Wayman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-20 with Computers categories.


Biometric Systems provides practitioners with an overview of the principles and methods needed to build reliable biometric systems. It covers three main topics: key biometric technologies, design and management issues, and the performance evaluation of biometric systems for personal verification/identification. The four most widely used technologies are focused on - speech, fingerprint, iris and face recognition. Key features include: in-depth coverage of the technical and practical obstacles which are often neglected by application developers and system integrators and which result in shortfalls between expected and actual performance; and protocols and benchmarks which will allow developers to compare performance and track system improvements.



Python Data Science Handbook


Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21

Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.


For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms



Face Detection And Recognition


Face Detection And Recognition
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Author : Asit Kumar Datta
language : en
Publisher: CRC Press
Release Date : 2015-10-28

Face Detection And Recognition written by Asit Kumar Datta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-28 with Computers categories.


Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de



Third International Conference On Image Processing And Capsule Networks


Third International Conference On Image Processing And Capsule Networks
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Author : Joy Iong-Zong Chen
language : en
Publisher: Springer Nature
Release Date : 2022-07-28

Third International Conference On Image Processing And Capsule Networks written by Joy Iong-Zong Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-28 with Computers categories.


This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.



Handbook Of Research On Digital Violence And Discrimination Studies


Handbook Of Research On Digital Violence And Discrimination Studies
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Author : Özsungur, Fahri
language : en
Publisher: IGI Global
Release Date : 2022-04-08

Handbook Of Research On Digital Violence And Discrimination Studies written by Özsungur, Fahri and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-08 with Social Science categories.


Digital violence continues to increase, especially during times of crisis. Racism, bullying, ageism, sexism, child pornography, cybercrime, and digital tracking raise critical social and digital security issues that have lasting effects. Digital violence can cause children to be dragged into crime, create social isolation for the elderly, generate inter-communal conflicts, and increase cyber warfare. A closer study of digital violence and its effects is necessary to develop lasting solutions. The Handbook of Research on Digital Violence and Discrimination Studies introduces the current best practices, laboratory methods, policies, and protocols surrounding international digital violence and discrimination. Covering a range of topics such as abuse and harassment, this major reference work is ideal for researchers, academicians, policymakers, practitioners, professionals, instructors, and students.



Handbook Of Research On Cybersecurity Issues And Challenges For Business And Fintech Applications


Handbook Of Research On Cybersecurity Issues And Challenges For Business And Fintech Applications
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Author : Saeed, Saqib
language : en
Publisher: IGI Global
Release Date : 2022-10-21

Handbook Of Research On Cybersecurity Issues And Challenges For Business And Fintech Applications written by Saeed, Saqib and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Computers categories.


Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. The Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.



Pattern Recognition Icpr 2024 International Workshops And Challenges


Pattern Recognition Icpr 2024 International Workshops And Challenges
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Author : Shivakumara Palaiahnakote
language : en
Publisher: Springer Nature
Release Date : 2025-04-24

Pattern Recognition Icpr 2024 International Workshops And Challenges written by Shivakumara Palaiahnakote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.


This 6-volume set LNCS 15614-15619 constitutes the proceedings of the ICPR 2024 International Workshops and Challenges held under the umbrella of the 27th International Conference on Pattern Recognition, ICPR 2024, which took place in Kolkata, India, during December 1–5, 2024. The 183 full papers presented in these 6 volumes were carefully reviewed and selected from numerous submissions. The 21 ICPR 2024 workshops addressed problems in pattern recognition, artificial intelligence, computer vision, and image and sound analysis, and the contributions reflect the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, and de-escalation.



Oxford Handbook Of Face Perception


Oxford Handbook Of Face Perception
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Author : Andrew J. Calder
language : en
Publisher: Oxford University Press
Release Date : 2011-07-28

Oxford Handbook Of Face Perception written by Andrew J. Calder and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-28 with Philosophy categories.


In the past 30 years, face perception has become an area of major interest within psychology. This is the most comprehensive and commanding review of the field ever published.



Ultimate Deepfake Detection Using Python


Ultimate Deepfake Detection Using Python
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Author : Dr. Nimrita Koul
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-09-21

Ultimate Deepfake Detection Using Python written by Dr. Nimrita Koul and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.


TAGLINE Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. KEY FEATURES ● Comprehensive and graded approach to Deepfake detection using Python and its libraries. ● Practical implementation of deepfake detection techniques using Python. ● Hands-on chapters for detecting deepfake images, videos, and audio. ● Covers Case study for providing real-world application of deepfake detection. DESCRIPTION In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation. "Ultimate Deepfake Detection with Python" equips you with the skills to combat this threat using Python’s AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced deep learning techniques. Perfect for researchers, developers, and cybersecurity professionals, this book enhances technical skills and deepens awareness of the ethical issues around deepfakes. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security. WHAT WILL YOU LEARN ● Understand the fundamentals of generative AI and deepfake technology and the potential risks they pose. ● Explore the various methods and techniques used to identify deepfakes, as well as the obstacles faced in this field. ● Learn to use essential datasets and label image, video, and audio data for building deepfake detection models. ● Apply advanced machine learning models like CNNs, RNNs, GANs, and Transformers for deepfake detection. ● Master active and passive methods for detecting face manipulation and build CNN-based image detection systems. ● Detect manipulations in videos, develop a detection system, and evaluate its performance using key metrics. ● Build and implement a practical deepfake detection system to understand how these techniques are applied in real-world scenarios. WHO IS THIS BOOK FOR? This book is tailored for anyone interested in deepfake detection using Python. Whether you're a researcher, developer, or cybersecurity professional, this guide provides the essential knowledge and skills. A basic understanding of Python and machine learning is helpful, but no prior experience in deepfakes is required. TABLE OF CONTENTS 1. Introduction to Generative AI and Deepfake Technology 2. Deepfake Detection Principles and Challenges 3. Ethical Considerations with the Use of Deepfakes 4. Setting Up your Machine for Deepfake Detection using Python 5. Deepfake Datasets 6. Techniques for Deepfake Detection 7. Detection of Deepfake Images 8. Detection of Deepfake Video 9. Detection of Deepfake Audio 10. Case Study in Deepfake Detection Index