Overview
- Features new methods of audio watermarking for copyright protection and ownership protection
- Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload
- Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (5 chapters)
Keywords
About this book
This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications.
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·        Features new methods of audio watermarking for copyright protection and ownership protection
·        Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload
·        Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.
Authors and Affiliations
Bibliographic Information
Book Title: Advances in Audio Watermarking Based on Singular Value Decomposition
Authors: Pranab Kumar Dhar, Tetsuya Shimamura
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-3-319-14800-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-3-319-14799-4Published: 09 April 2015
eBook ISBN: 978-3-319-14800-7Published: 30 March 2015
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: XVIII, 58
Number of Illustrations: 8 b/w illustrations, 18 illustrations in colour
Topics: Signal, Image and Speech Processing, Computational Linguistics, Cryptology