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E-grāmata: Watermarking Techniques for Copyright Protection of Videos

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Watermarking Techniques for Copyright Protection of VideosPalielināt
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    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
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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).

1 Introduction
1(18)
1.1 Prologue
1(1)
1.2 Basic of Watermarking
2(1)
1.3 Requirements of Watermarking
3(2)
1.3.1 Types of Watermarking
4(1)
1.3.2 Applications of Watermarking
5(1)
1.4 Watermarking Attacks
5(2)
1.5 Quality Measures for Watermarking
7(1)
1.6 Colorspace Conversion
8(1)
1.7 Related Works to Video Watermarking
9(6)
1.8 Book Organization
15(4)
Bibliography
16(3)
2 Video Watermarking in Spatial Domain
19(18)
2.1 Visible Watermarking
19(1)
2.2 Invisible Watermarking
20(17)
2.2.1 Least Significant Bit Substitution Approach
21(4)
2.2.2 Correlation-Based Approach
25(10)
Bibliography
35(2)
3 Video Watermarking in Transform Domain
37(26)
3.1 Discrete Cosine Transform (DCT)-Based Approach
37(11)
3.1.1 Watermark Embedding Process
39(1)
3.1.2 Watermark Extraction Process
40(1)
3.1.3 Results of Imperceptibility Test
40(1)
3.1.4 Results of Robustness Test
41(5)
3.1.5 Observation on Obtain Results
46(2)
3.1.6 Comparison with Correlation-Based Approach
48(1)
3.2 Discrete Wavelet Transform (DWT)-Based Approach
48(15)
3.2.1 Watermark Embedding Process
50(2)
3.2.2 Watermark Extraction Process
52(1)
3.2.3 Results of Imperceptibility Test
53(1)
3.2.4 Results of Robustness Test
54(4)
3.2.5 Observation on Obtain Results
58(2)
3.2.6 Comparison with Correlation and DCT-Based Approaches
60(1)
Bibliography
60(3)
4 Singular Value Decomposition (SVD)-Based Video Watermarking
63(18)
4.1 SVD-Based Approach with Binary Message
64(8)
4.1.1 Watermark Embedding Process
64(1)
4.1.2 Watermark Extraction Process
64(1)
4.1.3 Results of Imperceptibility Test
65(1)
4.1.4 Results of Robustness Test
66(6)
4.2 SVD-Based Approach with Grayscale Message
72(7)
4.2.1 Results of Imperceptibility Test
73(1)
4.2.2 Results of Robustness Test
74(5)
4.3 Observation on Obtain Results
79(1)
4.4 Comparison with Correlation-, DCT-, and DWT-Based Approaches
79(2)
Bibliography
79(2)
5 Video Watermarking in Hybrid Domain
81(18)
5.1 DCT + DWT + SVD-Based Approach for Binary Message
81(9)
5.1.1 Watermark Embedding Process
81(1)
5.1.2 Watermark Extraction Process
82(1)
5.1.3 Results of Imperceptibility Test
82(2)
5.1.4 Results of Robustness Test
84(6)
5.2 DCT + DWT + SVD-Based Approach with Grayscale Message
90(8)
5.2.1 Watermark Embedding Process
90(1)
5.2.2 Watermark Extraction Process
91(1)
5.2.3 Results of Imperceptibility Test
91(1)
5.2.4 Results of Robustness Test
91(7)
5.3 Observation on Obtain Results
98(1)
5.3.1 Comparison with DCT-, DWT-, and SVD-Based Approaches
98(1)
Bibliography
98(1)
6 Video Watermarking in Sparse Domain
99(8)
6.1 CS Theory-Based Video Watermarking Approach
99(8)
6.1.1 Watermark Embedding Process
100(1)
6.1.2 Watermark Extraction Process
101(1)
6.1.3 Results of Imperceptibility Test
101(4)
6.1.4 Results of Robustness Test
105(1)
6.1.5 Observation on Obtain Results
105(1)
Bibliography
106(1)
7 Conclusion and Future Direction
107(2)
Index 109
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.
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