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