Electronic Resource

Multimedia Forensics

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Penilaian

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This book is 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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2008000075	EB0003942	005.8 Mul	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title

Advances in Computer Vision and Pattern Recognition

Call Number

005.8 Mul

Publisher

Switzerland : Springer Singapore., 2022

Collation

xii, 490p.: Ill.

Language

English

ISBN/ISSN

978-981-16-7621-5

Classification

005.8

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Data Security (Computer Program)

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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