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Multimedia Forensics, Paperback by Sencar, Husrev Taha (EDT); Verdoliva, Luis...

Description: Multimedia Forensics, Paperback by Sencar, Husrev Taha (EDT); Verdoliva, Luisa (EDT); Memon, Nasir (EDT), ISBN 9811676232, ISBN-13 9789811676239, Brand New, Free P&P in the UK

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 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.


Price: 41.87 GBP

Location: Castle Donington

End Time: 2025-01-14T15:13:51.000Z

Shipping Cost: 20.11 GBP

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Multimedia Forensics, Paperback by Sencar, Husrev Taha (EDT); Verdoliva, Luis...

Item Specifics

Return postage will be paid by: Buyer

Returns Accepted: Returns Accepted

After receiving the item, your buyer should cancel the purchase within: 30 days

Book Title: Multimedia Forensics

Number of Pages: 515 Pages

Publication Name: Multimedia Forensics

Language: English

Publisher: Springer Verlag, Singapore

Item Height: 235 mm

Subject: Engineering & Technology, Computer Science

Publication Year: 2022

Type: Textbook

Author: Nasir Memon, Luisa Verdoliva, Husrev Taha Sencar

Item Width: 155 mm

Series: Advances in Computer Vision and Pattern Recognition

Format: Paperback

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