Development and Implementation of a Video Watermarking Method Based on DCT Transform
This paper presents a new color video watermarking technique based on the one-dimensional Discrete Cosine Transform (DCT). This approach uses a differential embedding technique to insert the bits of the watermark into the video frames so that the extraction process is blind and straightforward. To further ensure the security of the method, the binary image watermark is scrambled using Arnold transform before embedded into the video segment. Also, a color space transformation from Red, Green and Blue (RGB) to YUV is performed in order to deal with the color nature of the video segments. The proposed approach exhibits good robustness against a wide range of attacks such as video compression, cropping, Gaussian filtering, and noise adding. Finally, we propose an implementation of the video watermarking technique using the Raspberry Pi 3 platform. Nearly the same remarks may be made as in the simulation resultsconcerning the robustness against video compression attacks.
[1] Abdi L., Ben Abdallah F., and Meddeb A., “Real-Time Watermarking Algorithm of H.264/AVC Video Stream,” The International Arab Journal of Information Technology, vol. 14, no. 2, pp. 168-174, 2017.
[2] Abughalieh K., Sababha B., and Rawashdeh N., “A Video-Based Object Detection and Tracking System for Weight Sensitive UAVs,” Multimedia Tools and Applications, vol. 78, no. 7, pp. 9149- 9167, 2019.
[3] Al-Saffar A., Awang S., Tao H., Omar N., Al- Saiagh W., and Al-bared M., “Malay Sentiment Analysis Based on Combined Classification Approaches and Senti-Lexicon Algorithm,” PloS one, vol. 13, no. 4, pp. e0194852, 2018.
[4] Awang S., Yusof R., Zamzuri M., and Arfa R., “Feature Level Fusion of Face and Signature Using A Modified Feature Selection Technique,” in Proceedings of the International Conference on Signal-Image Technology and Internet-Based Systems, Kyoto, pp. 706-713, 2013.
[5] Benoraira A., Benmahammed K., and Boucenna N., “Blind Image Watermarking Technique Based on Differential Embedding in DWT and DCT Domains,” EURASIP Journal on Advances in Signal Processing, vol. 2015, no. 1, pp. 1-11, 2015.
[6] Bhagyashri S. and Joshi M., “All Frequency Band DWT-SVD Robust Watermarking Technique for Color Images in YUV Color Space,” in Proceedings of the International Conference on Computer Science and Automation Engineering, Shanghai, pp. 295-299, 2011.
[7] Bhardwaj A., Verma V., and Jha R., “Robust Video Watermarking Using Significant Frame Selection Based on Coefficient Difference of Lifting Wavelet Transform,” Multimedia Tools and Applications, vol. 77, no. 15, pp. 19659- 19678, 2018.
[8] Dey B. and Kundu M., “Robust Background Subtraction for Network Surveillance in H.264 Streaming Video,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 10, pp. 1695-1703, 2013.
[9] Dutta M., Singh A., and Soni K., “A Secure Algorithm for Biometric-Based Digital Image Watermarking in DCT Domain,” International Journal of Computational Vision and Robotics, vol. 4, no. 12, pp. 99-114, 2014.
[10] Farfoura M., Horng S., Guo J., and Al-Haj A., “Low Complexity Semi-Fragile Watermarking Scheme for h.264/avc Authentication,” Multimedia Tools and Applications, vol. 75, no. 13, pp. 7465-7493, 2016.
[11] Hu H. and Hsu L., “Collective Blind Image Watermarking in DWT-DCT Domain with Adaptive Embedding Strength Governed by Quality Metrics,” Multimedia Tools and Applications, vol. 76, no. 5, pp. 6575-6594, 2016.
[12] Joshi A., Mishra V., and Patrikar R., “FPGA Prototyping of Video Watermarking for Ownership Verification Based on H.264/AVC,” Multimedia Tools and Applications, vol. 75, no. 6, pp. 3121-3144, 2016.
[13] Khalili M. and Asatryan D., “Colour spaces Effects on Improved Discrete Wavelet Transform-Based Digital Image Watermarking Using Arnold Transform Map,” IET Signal Processing, vol. 7, no. 3, pp. 177-187, 2013. Development and Implementation of a Video Watermarking Method Based on DCT Transform 147
[14] Khan A., Siddiqa A., Munib S., and Malik S., “A Recent Survey of Reversible Watermarking Techniques,” Information Sciences, vol. 279, pp. 251-272, 2014.
[15] Kumari V. and Thanushkodi K., “A Secure Fast 2d-Discrete Fractional Fourier Transform Based Medical Image Compression Using SPIHT Algorithm with Huffman Encoder,” International Review on Computers and Software, vol. 8, no. 7, pp. 1702-1710, 2013.
[16] Li J., Wang Y., and Dong S., “Video Watermarking Algorithm based DC Coefficient,” in Proceedings of the International Conference on Image Vision and Computing, Chengdu, pp. 454-458, 2017.
[17] Marot J. and Bourennane S., “Raspberry Pi for Image Processing Education,” in Proceedings of the European Signal Processing Conference, Kos, pp. 2364-2366, 2017.
[18] Preda R. and Vizireanu D., “Robust Wavelet- Based Video Watermarking Scheme for Copyright Protection Using The Human Visual System,” Journal of Electronic Imaging, vol. 20, no. 1, pp. 13022-13022, 2011.
[19] Rupp M., Video and Multimedia Transmissions over Cellular Networks, Wiley, 2009.
[20] Saadi S., Merrad A., and Benziane A., “Novel Secured Scheme for Blind Audio/Speech Norm- Space Watermarking by Arnold Algorithm,” Journal of Signal Processing, vol. 154, pp. 74- 86, 2019.
[21] Szeliski R., Computer Vision: Algorithms and Applications, Springer, 2011.
[22] Tkalcic M. and Tasic J., “Colour Spaces: Perceptual, Historical and Applicational Background,” in Proceeding of EUROCON Computer as a Tool, Ljubljana, pp. 304-308, 2003.
[23] Wang L., Ling H., and Lu Z., “Real-Time Compressed-Domain Video Watermarking Resistance to Geometric Distortions,” IEEE MultiMedia, vol. 19, no. 1, pp. 70-79, 2012.
[24] Wójtowicz W. Ogiela M., “Digital Images Authentication Scheme Based on Bimodal Biometric Watermarking in an Independent Domain,” Journal of Visual Communication and Image Representation, vol. 38, pp. 1-10, 2016.
[25] Yu X., Wang C., and Zhou X., “A Survey on Robust Video Watermarking Algorithms for Copyright Protection,” Applied Sciences, vol. 8, no. 10, pp. 1-26, 2018.