Advanced Techniques for Audio Watermarking, Rohit M. Thanki

Автор: Rohit Thanki; Komal Borisagar; Surekha Borra
Название: Advanced Compression and Watermarking Techniques for Speech Signals
ISBN: 331969068X ISBN-13(EAN): 9783319690681
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).

Автор: Kothari
Название: Watermarking Techniques for Copyright Protection of Videos
ISBN: 3319928368 ISBN-13(EAN): 9783319928364
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The book provides copyright protection approaches for videos using watermarking. The various watermarking techniques using various transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT) and singular value decomposition (SVD) for videos are presented.

Автор: Yong Xiang; Guang Hua; Bin Yan
Название: Digital Audio Watermarking
ISBN: 9811042888 ISBN-13(EAN): 9789811042881
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book offers comprehensive coverage on the most important aspects of audio watermarking, from classic techniques to the latest advances, from commonly investigated topics to emerging research subdomains, and from the research and development achievements to date, to current limitations, challenges, and future directions.

Автор: Hyoung-Joong Kim; Stefan Katzenbeisser; Anthony T.
Название: Digital Watermarking
ISBN: 3642044379 ISBN-13(EAN): 9783642044373
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Workshop on Digital Watermarking, IWDW 2008, held in Busan, Korea, in November 2008. information theoretic, stochastic aspects of data hiding; combination of data hiding and cryptography; reversible data hiding; data hiding in special media;

Автор: Ashish M. Kothari; Vedvyas Dwivedi; Rohit M. Thank
Название: Watermarking Techniques for Copyright Protection of Videos
ISBN: 3030065308 ISBN-13(EAN): 9783030065300
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The book provides copyright protection approaches for videos using watermarking. The various watermarking techniques using various transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT) and singular value decomposition (SVD) for videos are presented. The book also provides video watermarking approach using compressive sensing (CS) theory. The presented watermarking techniques are designed and implemented using color digital videos. The performance of the presented techniques is evaluated using Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC).

Автор: Feng-Hsing Wang
Название: Innovations in Digital Watermarking Techniques
ISBN: 3642031862 ISBN-13(EAN): 9783642031861
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book introduces a number of digital watermarking techniques. It contains the latest research into the digital watermarking techniques in the artificial intelligence environment. The book is directed to those interested in the area of information security.

Автор: Pranab Kumar Dhar; Tetsuya Shimamura
Название: Advances in Audio Watermarking Based on Matrix Decomposition
ISBN: 3030157253 ISBN-13(EAN): 9783030157258
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas.

Автор: Pranab Kumar Dhar; Tetsuya Shimamura
Название: Advances in Audio Watermarking Based on Singular Value Decomposition
ISBN: 3319147994 ISBN-13(EAN): 9783319147994
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying.

Автор: Bas
Название: Watermarking Security
ISBN: 9811005052 ISBN-13(EAN): 9789811005053
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book explains how to measure the security of a watermarking scheme, how to design secure schemes but also how to attack popular watermarking schemes. This book is useful to industrial practitioners who would like to increase the security of their watermarking applications and for academics to quickly master this fascinating domain.

Автор: Joachim Eggers; Bernd Girod
Название: Informed Watermarking
ISBN: 1461353203 ISBN-13(EAN): 9781461353201
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book deals with digital watermarking, which is defined by the authors of this book as the art of hiding auxiliary information in digital data in a secure, robust and imperceptible fashion.

Автор: Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Bori
Название: Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 3319892398 ISBN-13(EAN): 9783319892399
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.

Автор: Yun-Qing Shi; Hyoung Joong Kim; Fernando P?rez-Gon
Название: Digital-Forensics and Watermarking
ISBN: 3319319590 ISBN-13(EAN): 9783319319599
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes revised selected papers from the14th International Workshop on Digital-Forensics and Watermarking, IWDW 2015,held in Tokyo, Japan, in October 2015. The 35 papers presented in this volume were carefullyreviewed and selected from 54 submissions.