03952nam 22006015 450 991033761720332120200701150212.03-030-15726-110.1007/978-3-030-15726-5(CKB)4100000007992417(MiAaPQ)EBC5759452(DE-He213)978-3-030-15726-5(PPN)235669504(EXLCZ)99410000000799241720190423d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Audio Watermarking Based on Matrix Decomposition /by Pranab Kumar Dhar, Tetsuya Shimamura1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (62 pages)SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737X3-030-15725-3 Chapter1: 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.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. 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.SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737XSignal processingImage processingSpeech processing systemsComputational linguisticsAlgorithmsSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Computational Linguisticshttps://scigraph.springernature.com/ontologies/product-market-codes/N22000Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Signal processing.Image processing.Speech processing systems.Computational linguistics.Algorithms.Signal, Image and Speech Processing.Computational Linguistics.Algorithm Analysis and Problem Complexity.676.28027005.8Dhar Pranab Kumarauthttp://id.loc.gov/vocabulary/relators/aut720949Shimamura Tetsuyaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910337617203321Advances in Audio Watermarking Based on Matrix Decomposition1930046UNINA