Details

Watermarking Techniques for Copyright Protection of Videos


Watermarking Techniques for Copyright Protection of Videos


Signals and Communication Technology

von: Ashish M. Kothari, Vedvyas Dwivedi, Rohit M. Thanki

53,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 22.06.2018
ISBN/EAN: 9783319928371
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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).</p>
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.&nbsp;
<p><b>Dr. Ashish M. Kothari</b>&nbsp;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.</p>

<p><b>Dr. Vedvyas J. Dwivedi</b>&nbsp;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).&nbsp;</p>

<p><b>Dr. Rohit M. Thanki</b>&nbsp;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.</p><br><br>
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).
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

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