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.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
8 s/w Abbildungen, 18 farbige Abbildungen
XVIII, 58 p. 26 illus., 18 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 5 mm
Weight
ISBN-13
978-3-319-14799-4 (9783319147994)
DOI
10.1007/978-3-319-14800-7
Schweitzer Classification
Pranab Kumar Dhar received B. Sc., M. Sc., and Ph.D. degrees from Chittagong University of Engineering and Technology (CUET), Bangladesh, University of Ulsan, Republic of Korea and Saitama University, Japan in 2004, 2010, and 2014, respectively. In 2005, he joined as a Lecturer in the Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chittagong, Bangladesh where he is currently serving as a Professor. His research interest includes Multimedia Security, Digital Watermarking, Multimedia Data Compression, Sound Synthesis, Digital Image Processing, and Digital Signal Processing. He has published over 25 referred journal articles, 30 conference papers. He is an author of one book and one book chapter, and one patent. He is a member of technical committee of several international conferences. He serves as a reviewer of various reputed journals including of IEEE, IEICE, Elsevier, and Springer. He received 'Best Paper Award' of the International Conference on Intelligent Computing (ICIC-2009) in 2009, 'Excellent Paper Award' of the Engineering and Arts Society Conference in Korea (EASKO-2009) in 2009, and 'Best Paper Award' of the 9th International Forum on Strategic Technologies (IFOST-2014) in 2014. He is also a recipient of 'Best Paper Award' of the Journal of Signal Processing in 2015.
Tetsuya Shimamura received the B.E., M.E., and Ph.D. degrees in Electrical Engineering from Keio University, Yokohama, Japan in 1986, 1988, and 1991, respectively. In 1991, he joined Saitama University, Saitama, Japan, where he is currently a Professor. He was a visiting researcher at Longhborough University, U.K. in 1995 and at Queen's University of Belfast, U.K. in 1996, respectively. His research interests are in digital signal processing and its applications to speech, audio, image and communication systems. He has published over 90 refereed journal articles and 220 international conference papers. He is an author and co-author of eight books, and a member of the organizing committee of several international conferences. He has received IEEE Pacific Rim Conference on Communications, Computers and Signal Processing 'Gold Paper Award' in 2012, WSEAS International Conference on Multimedia Systems and Signal Processing 'Best Paper Award' in 2013, and IEEE IFOST 'Best Paper Award' in 2014. Also, he is a recipient of Journal of Signal Processing 'Best Paper Award' in 2013, 2015, and 2016.
Introduction.- Background Information.- DWT-DCT-Based Audio Watermarking Using SVD.- FFT-Based Audio Watermarking Using SVD and CPT.- Conclusions.
