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Watermarking Techniques for Copyright Protection of Videos de Ashish M. Kothari

Watermarking Techniques for Copyright Protection of Videos: Signals and Communication Technology

Autor Ashish M. Kothari, Vedvyas Dwivedi, Rohit M. Thanki
en Limba Engleză Hardback – 9 iul 2018
The book provides copyright protection approaches for videos using watermarking. The various watermarking techniques using various transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT) and singular value decomposition (SVD) for videos are presented. The book also provides video watermarking approach using compressive sensing (CS) theory. The presented watermarking techniques are designed and implemented using color digital videos. The performance of the presented techniques is evaluated using Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC).
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Specificații

ISBN-13: 9783319928364
ISBN-10: 3319928368
Pagini: 154
Ilustrații: XVIII, 112 p. 131 illus., 118 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.36 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Signals and Communication Technology

Locul publicării:Cham, Switzerland

Cuprins

Chapter 1. Introduction.- Chapter 2. Video Watermarking in Spatial Domain.- Chapter 3.Video Watermarking in Transform Domain.- Chapter 4. Singular Value Decomposition (SVD) based Video Watermarking Approaches.- Chapter 5.Video Watermarking in Hybrid Domain.- Chapter 6.Video Watermarking in Sparse Domain.- Chapter 7. Conclusion and Future Direction. 

Notă biografică

Dr. Ashish M. Kothari obtained his Ph.D. in Digital Video Watermarking from JJT University, Rajasthan, India in 2013. He is working as an Associate professor and Head of Electronics and Communication Engineering, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. He is also recognized Ph.D. supervisor at Gujarat Technological University, Ahmedabad, Gujarat, India. His area of research interest is Image Processing, Video Processing, Digital Watermarking and Signal Processing. He has published 1 book, 1 book chapter and more than 25 research papers to his credit in refereed & indexed journals, and conferences at international and national level.
Dr. Vedvyas J. Dwivedi is Professor (Department of E.C. Engineering, Faculty of Technology and Engineering) and Vice-Provost of C. U. Shah University. He has guided 7 Ph.D. theses, 43 M. Tech. dissertations, examined 8 Ph.D. theses from Indian Universities, 4 Ph.D. Theses from the United Statesbased Universities, published 137 research and review articles, delivered 38 expert/resource talks, authored/co-authored 10 books, completed 12 research/consultancy projects, published 8 patents, chaired 16 sessions in national/international conferences of IEEE, IETE, IE (I), ISTE and HEIs. His expertise and interest areas are wireless-satellite-mobile-optical-RF-Microwave systems, sensor-energy-signal technology. His videos on youtube and www.cushahuniversity.ac.in are available. He has earned B.E (Electronics Engineering), M.E. (Electronics and Communication Engineering), and Ph.D. (Electronics and Communication Engineering). 
Dr. Rohit M. Thanki obtained his Ph.D. in Multibiometric System Security using CS Theory and Watermarking from C. U. Shah University, Wadhwan city, Gujarat, India in 2017. His area of research interest is Digital Watermarking, Biometrics System, Security, Compressive Sensing, Medical Imaging, Pattern Recognition and Image Processing. Hehas published 4 books, 7 book chapters and 30 research papers to his credit in refereed & indexed journals, and conferences at international and national level. His international recognition includes his professional memberships & services in refereed organizations, programme committees and reviewer for journals published by IEEE, Elsevier, Taylor & Francis, Springer, IGI-Global etc.


Textul de pe ultima copertă

The book provides copyright protection approaches for videos using watermarking. The various watermarking techniques using various transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT) and singular value decomposition (SVD) for videos are presented. The book also provides video watermarking approach using compressive sensing (CS) theory. The presented watermarking techniques are designed and implemented using color digital videos. The performance of the presented techniques is evaluated using Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC).

Caracteristici

Provides a complete review of video watermarking techniques in spatial, transform, hybrid, and sparse domain Covers different watermarking techniques for copyright protections of color videos Introduces video watermarking techniques in sparse domain using Compressive Sensing (CS) theory