Image and Video Forensics
Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, integrity, confidentiality, and security. Multimedia contents are generated in many different ways...
Đã lưu trong:
| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20220224_9783036528076_19 |
| Các nhãn: |
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| _version_ | 1863745621907734528 |
|---|---|
| collection | Directory of Open Access Books |
| description | Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, integrity, confidentiality, and security. Multimedia contents are generated in many different ways through the use of consumer electronics and high-quality digital imaging devices, such as smartphones, digital cameras, tablets, and wearable and IoT devices. The ever-increasing convenience of image acquisition has facilitated instant distribution and sharing of digital images on digital social platforms, determining a great amount of exchange data. Moreover, the pervasiveness of powerful image editing tools has allowed the manipulation of digital images for malicious or criminal ends, up to the creation of synthesized images and videos with the use of deep learning techniques. In response to these threats, the multimedia forensics community has produced major research efforts regarding the identification of the source and the detection of manipulation. In all cases (e.g., forensic investigations, fake news debunking, information warfare, and cyberattacks) where images and videos serve as critical evidence, forensic technologies that help to determine the origin, authenticity, and integrity of multimedia content can become essential tools. This book aims to collect a diverse and complementary set of articles that demonstrate new developments and applications in image and video forensics to tackle new and serious challenges to ensure media authenticity. |
| format | Online |
| id | doab-20.500.12854ir-78721 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-787212024-03-30T12:51:16Z Image and Video Forensics Amerini, Irene Baldini, Gianmarco Leotta, Francesco face morphing forensics detection face landmarks automatic border control biometrics facial recognition facial anti-spoofing facial Presentation Attack Detection (PAD) RGB camera-based anti-spoofing methods deep learning survey computer vision pattern recognition PRNU photo response non-uniformity source camera identification videos compression snapchat resolution camera fingerprint smartphone identification user profile linking digital investigations social network classification inter-frame forgery digital forensics correlation SVD Harris GLCM Tensor video forensic digital image forensics source identification GAN-generated image detection copy-move forgery detection fake image transfer learning VGG image forensics fake image detection neural network Deepfake anomaly detection UAV videos deep one-class cybersecurity multimedia content manipulation deepfake convolutional neural networks support vector machines discrete fourier transform DeepFake detection hand-crafted features forensic process model plausibility of decisions forensic evidence evaluation video source attribution likelihood ratio performance blind estimation forged image detection heatmap JPEG noise level function deepfake detection Generative Adversarial Networks multimedia forensics camera model identification video forensics audio forensics media forensics social media platform identification deepfakes facial manipulations social networks estimation by rotational invariant techniques (ESPRIT) short-time Fourier transform (STFT) multiple signal classification (MUSIC) simple linear iterative clustering (SLIC) n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, integrity, confidentiality, and security. Multimedia contents are generated in many different ways through the use of consumer electronics and high-quality digital imaging devices, such as smartphones, digital cameras, tablets, and wearable and IoT devices. The ever-increasing convenience of image acquisition has facilitated instant distribution and sharing of digital images on digital social platforms, determining a great amount of exchange data. Moreover, the pervasiveness of powerful image editing tools has allowed the manipulation of digital images for malicious or criminal ends, up to the creation of synthesized images and videos with the use of deep learning techniques. In response to these threats, the multimedia forensics community has produced major research efforts regarding the identification of the source and the detection of manipulation. In all cases (e.g., forensic investigations, fake news debunking, information warfare, and cyberattacks) where images and videos serve as critical evidence, forensic technologies that help to determine the origin, authenticity, and integrity of multimedia content can become essential tools. This book aims to collect a diverse and complementary set of articles that demonstrate new developments and applications in image and video forensics to tackle new and serious challenges to ensure media authenticity. 2022-02-24T10:34:10Z 2022-02-24T10:34:10Z 2022 book ONIX_20220224_9783036528076_19 9783036528076 9783036528069 https://directory.doabooks.org/handle/20.500.12854/78721 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4812 https://mdpi.com/books/pdfview/book/4812 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2807-6 10.3390/books978-3-0365-2807-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036528076 9783036528069 424 Basel open access |
| spellingShingle | face morphing forensics detection face landmarks automatic border control biometrics facial recognition facial anti-spoofing facial Presentation Attack Detection (PAD) RGB camera-based anti-spoofing methods deep learning survey computer vision pattern recognition PRNU photo response non-uniformity source camera identification videos compression snapchat resolution camera fingerprint smartphone identification user profile linking digital investigations social network classification inter-frame forgery digital forensics correlation SVD Harris GLCM Tensor video forensic digital image forensics source identification GAN-generated image detection copy-move forgery detection fake image transfer learning VGG image forensics fake image detection neural network Deepfake anomaly detection UAV videos deep one-class cybersecurity multimedia content manipulation deepfake convolutional neural networks support vector machines discrete fourier transform DeepFake detection hand-crafted features forensic process model plausibility of decisions forensic evidence evaluation video source attribution likelihood ratio performance blind estimation forged image detection heatmap JPEG noise level function deepfake detection Generative Adversarial Networks multimedia forensics camera model identification video forensics audio forensics media forensics social media platform identification deepfakes facial manipulations social networks estimation by rotational invariant techniques (ESPRIT) short-time Fourier transform (STFT) multiple signal classification (MUSIC) simple linear iterative clustering (SLIC) n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Image and Video Forensics |
| title | Image and Video Forensics |
| title_full | Image and Video Forensics |
| title_fullStr | Image and Video Forensics |
| title_full_unstemmed | Image and Video Forensics |
| title_short | Image and Video Forensics |
| title_sort | image and video forensics |
| topic | face morphing forensics detection face landmarks automatic border control biometrics facial recognition facial anti-spoofing facial Presentation Attack Detection (PAD) RGB camera-based anti-spoofing methods deep learning survey computer vision pattern recognition PRNU photo response non-uniformity source camera identification videos compression snapchat resolution camera fingerprint smartphone identification user profile linking digital investigations social network classification inter-frame forgery digital forensics correlation SVD Harris GLCM Tensor video forensic digital image forensics source identification GAN-generated image detection copy-move forgery detection fake image transfer learning VGG image forensics fake image detection neural network Deepfake anomaly detection UAV videos deep one-class cybersecurity multimedia content manipulation deepfake convolutional neural networks support vector machines discrete fourier transform DeepFake detection hand-crafted features forensic process model plausibility of decisions forensic evidence evaluation video source attribution likelihood ratio performance blind estimation forged image detection heatmap JPEG noise level function deepfake detection Generative Adversarial Networks multimedia forensics camera model identification video forensics audio forensics media forensics social media platform identification deepfakes facial manipulations social networks estimation by rotational invariant techniques (ESPRIT) short-time Fourier transform (STFT) multiple signal classification (MUSIC) simple linear iterative clustering (SLIC) n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | face morphing forensics detection face landmarks automatic border control biometrics facial recognition facial anti-spoofing facial Presentation Attack Detection (PAD) RGB camera-based anti-spoofing methods deep learning survey computer vision pattern recognition PRNU photo response non-uniformity source camera identification videos compression snapchat resolution camera fingerprint smartphone identification user profile linking digital investigations social network classification inter-frame forgery digital forensics correlation SVD Harris GLCM Tensor video forensic digital image forensics source identification GAN-generated image detection copy-move forgery detection fake image transfer learning VGG image forensics fake image detection neural network Deepfake anomaly detection UAV videos deep one-class cybersecurity multimedia content manipulation deepfake convolutional neural networks support vector machines discrete fourier transform DeepFake detection hand-crafted features forensic process model plausibility of decisions forensic evidence evaluation video source attribution likelihood ratio performance blind estimation forged image detection heatmap JPEG noise level function deepfake detection Generative Adversarial Networks multimedia forensics camera model identification video forensics audio forensics media forensics social media platform identification deepfakes facial manipulations social networks estimation by rotational invariant techniques (ESPRIT) short-time Fourier transform (STFT) multiple signal classification (MUSIC) simple linear iterative clustering (SLIC) n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220224_9783036528076_19 |