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024 7 $a10.1007/978-3-319-14800-7
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101 0 $aeng
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181   $ctxt
182   $cc
183   $acr
200 10$aAdvances in Audio Watermarking Based on Singular Value Decomposition /$fby Pranab Kumar Dhar, Tetsuya Shimamura
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (75 p.)
225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
300   $aDescription based upon print version of record.
311   $a3-319-14799-4 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Background Information -- DWT-DCT-Based Audio Watermarking Using SVD -- FFT-Based Audio Watermarking Using SVD and CPT -- Conclusions.
330   $aThis book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications.   ·         Features new methods of audio watermarking for copyright protection and ownership protection ·         Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload ·         Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.
410  0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputational linguistics
606   $aData encryption (Computer science)
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000
606   $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputational linguistics.
615  0$aData encryption (Computer science).
615 14$aSignal, Image and Speech Processing.
615 24$aComputational Linguistics.
615 24$aCryptology.
676   $a005.82
700   $aDhar$b Pranab Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720949
702   $aShimamura$b Tetsuya$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299689503321
996   $aAdvances in Audio Watermarking Based on Singular Value Decomposition$92494871
997   $aUNINA