소장자료
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003 | DE-He213▲ | ||
005 | 20231018113009▲ | ||
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020 | ▼a9789811676215▼9978-981-16-7621-5▲ | ||
024 | 7 | ▼a10.1007/978-981-16-7621-5▼2doi▲ | |
050 | 4 | ▼aQA76.9.A25▲ | |
082 | 0 | 4 | ▼a005.8▼223▲ |
245 | 1 | 0 | ▼aMultimedia Forensics▼h[electronic resource] /▼cedited by Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon.▲ |
250 | ▼a1st ed. 2022.▲ | ||
264 | 1 | ▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2022.▲ | |
300 | ▼aXII, 490 p. 151 illus., 137 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aAdvances in Computer Vision and Pattern Recognition,▼x2191-6594▲ | |
505 | 0 | ▼aWhat's In This Book and Why? -- Media Forensics in the Age of Disinformation -- Computational Imaging -- Sensor Fingerprints: Camera Identification and Beyond -- Source Camera Attribution from Videos -- Source Camera Model Identification -- GAN Fingerprints in Face Image Synthesis -- Physical Integrity.▲ | |
506 | 0 | ▼aOpen Access▲ | |
520 | ▼aThis book is an open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.▲ | ||
650 | 0 | ▼aData protection.▲ | |
650 | 0 | ▼aComputer vision.▲ | |
650 | 0 | ▼aImage processing.▲ | |
650 | 0 | ▼aMachine learning.▲ | |
650 | 0 | ▼aMultimedia systems.▲ | |
650 | 1 | 4 | ▼aData and Information Security.▲ |
650 | 2 | 4 | ▼aComputer Vision.▲ |
650 | 2 | 4 | ▼aImage Processing.▲ |
650 | 2 | 4 | ▼aMachine Learning.▲ |
650 | 2 | 4 | ▼aSecurity Services.▲ |
650 | 2 | 4 | ▼aMultimedia Information Systems.▲ |
700 | 1 | ▼aSencar, Husrev Taha.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aVerdoliva, Luisa.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aMemon, Nasir.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9789811676208▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9789811676222▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9789811676239▲ |
830 | 0 | ▼aAdvances in Computer Vision and Pattern Recognition,▼x2191-6594▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-981-16-7621-5▲ |

Multimedia Forensics[electronic resource]
자료유형
국외eBook
서명/책임사항
Multimedia Forensics [electronic resource] / edited by Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon.
판사항
1st ed. 2022.
형태사항
XII, 490 p. 151 illus., 137 illus. in color. online resource.
총서사항
내용주기
What's In This Book and Why? -- Media Forensics in the Age of Disinformation -- Computational Imaging -- Sensor Fingerprints: Camera Identification and Beyond -- Source Camera Attribution from Videos -- Source Camera Model Identification -- GAN Fingerprints in Face Image Synthesis -- Physical Integrity.
요약주기
This book is an open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.
주제
ISBN
9789811676215
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