Advances in Audio Watermarking Based on Singular Value Decomposition
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...
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| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-14800-7 |
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| LEADER | 03885nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-14800-7 | ||
| 003 | DE-He213 | ||
| 005 | 20200701171713.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150330s2015 gw | s |||| 0|eng d | ||
| 020 | |a 9783319148007 |9 978-3-319-14800-7 | ||
| 024 | 7 | |a 10.1007/978-3-319-14800-7 |2 doi | |
| 050 | 4 | |a TK5102.9 | |
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| 082 | 0 | 4 | |a 621.382 |2 23 |
| 100 | 1 | |a Dhar, Pranab Kumar. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Advances in Audio Watermarking Based on Singular Value Decomposition |h [electronic resource] / |c by Pranab Kumar Dhar, Tetsuya Shimamura. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2015. | |
| 300 | |a XVIII, 58 p. 26 illus., 18 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, |x 2191-737X | |
| 505 | 0 | |a Introduction -- Background Information -- DWT-DCT-Based Audio Watermarking Using SVD -- FFT-Based Audio Watermarking Using SVD and CPT -- Conclusions. | |
| 520 | |a 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. · 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Data encryption (Computer science). | |
| 650 | 1 | 4 | |a Signal, Image and Speech Processing. |0 https://scigraph.springernature.com/ontologies/product-market-codes/T24051 |
| 650 | 2 | 4 | |a Computational Linguistics. |0 https://scigraph.springernature.com/ontologies/product-market-codes/N22000 |
| 650 | 2 | 4 | |a Cryptology. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I28020 |
| 700 | 1 | |a Shimamura, Tetsuya. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319148014 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319147994 |
| 830 | 0 | |a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, |x 2191-737X | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-319-14800-7 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||