000 03726nam a22005655i 4500
001 978-3-030-15726-5
003 DE-He213
005 20220801220356.0
007 cr nn 008mamaa
008 190423s2019 sz | s |||| 0|eng d
020 _a9783030157265
_9978-3-030-15726-5
024 7 _a10.1007/978-3-030-15726-5
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aDhar, Pranab Kumar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949963
245 1 0 _aAdvances in Audio Watermarking Based on Matrix Decomposition
_h[electronic resource] /
_cby Pranab Kumar Dhar, Tetsuya Shimamura.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXI, 56 p. 25 illus., 16 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
505 0 _aChapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work.
520 _aThis 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. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas.
650 0 _aSignal processing.
_94052
650 0 _aComputational linguistics.
_96146
650 0 _aAlgorithms.
_93390
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aComputational Linguistics.
_96146
650 2 4 _aAlgorithms.
_93390
700 1 _aShimamura, Tetsuya.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949964
710 2 _aSpringerLink (Online service)
_949965
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030157258
776 0 8 _iPrinted edition:
_z9783030157272
830 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
_949966
856 4 0 _uhttps://doi.org/10.1007/978-3-030-15726-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78502
_d78502