Implementation of H.264/AVC Video Authentication System Using Watermark
Main Article Content
Abstract
This paper presents a hybrid approach to encode and decode the data received from the video using H.264 encoder/decoder and to derive the compressed data for the given image using the compression algorithm such as DCT. The encoded data derived from the output of the Encoder part, while the decoded data reconstructed from the encoded video output. The watermarking was also done on the input video in order to increase the robustness of the overall system. The watermark is an image and it was embedded into the frames of the input video which results as the watermarked video. The watermark is embedded in to the frames using DWT algorithm. From the watermarked video, the watermark (image) is decrypted and the input video is reconstructed. Experimental results demonstrate the superiority of the proposed system compared to the former existing schemes in encoding and watermarking tasks. The H.264 Encoder/Decoder method compresses the frames of the video efficiently, and at the same time, the actual input frames of the video can be reconstructed from the corresponding compressed data stream.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
Mehdi Fallahpour and Shervin Shirmohammadi, “Tampering Detection in Compressed Digital Video using Watermark,” IEEE int. Conference on Instrumentation and measurement, Vol. 63, No.55 May-2014.
S. Chen and H. Leung,“ Chaotic watermarking for video authentication in surveillance applications,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 18, Issue:5,2008.
B. G. Mobbaseri, M.J.Sieffert and R. J.Simard : “Content authentication and tamper detection in digital video” International Conference on Image Processing, Vol. 1, pages 458 - 461, 2000.
Qibin Sun, Dajun He, Zhishou Zhang and Qi Tian“A secure and robust approach to scalable video authentication,” Proc. IEEE, vol. 2, , pp. II – 209 - 12, 2003.
K. Maeno, Q. Sun, S.-F. Chang, and M. Suto, “New semi-fragile image authentication watermarking techniques using random bias and nonuniform quantization,” IEEE Trans. Multimedia, vol. 8, no. 1, pp. 32–45, Feb. 2006
Gang Qiu, Pina Marziliano, Anthony T.S. Ho, Dajun He, and Qibin Sun, “A hybrid watermarking scheme for H.264/AVC video” Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04) 1051-4651/04 IEEE.
P.-C. Su, C.-S. Wu, I.-F. Chen, C.-Y. Wu, and Y.- C. Wu, “A practical design of digital video watermarking in H.264/AVC for content authentication,” Signal Process, Image Commun., vol. 26, nos. 8–9, pp. 413–426,Oct. 2011.
Lei Lei, Chao Wang, Xin Liu, “Discrete Wavelet Transform Decomposition Level Determination exploiting Sparseness Measurement” International Journal of Electrical, Computer, Energetic, Electronics and Instrumentation Engineering, Vol. 7, No.9, 2013.
D. Kundur and D. Hatzinakos, B., “Digital Watermarking using Multiresolution Wavelet Decomposition”, Proceedings, IEEE International Conference Acoustic, Speech, Signal Processing, 1998.
S. Venkata Ramana, S. Narayana Reddy, “A Novel Method to Improve Resolution of Satellite Images Using DWT and Interpolation”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 3, Issue 1, January 2014
Baisa L. Gunjal, R.R. Manthalkar, “An overview of transform domain robust digital image watermarking algorithms”, Journal of Emerging Trends in Computing and Information Sciences, 2010.
Barni M, Bartolini F,Piva,B., “An Improved Wavelet Based Watermarking Through Pixelwise Masking” IEEE transactions on image processing, 2001.
T. Na, M. Kim, “A novel No-Reference method with regard to deblocking filtering effect in H.264/AVC bit-streams” IEEE Transactions on Circuits and Systems for Video Technology,Vol-2,Issue:2,2014.
H.L.Tan, Z. Li, Y.Tan “A Perceptually relevant MSE based Image Quality Metric”” IEEE Transactions on Image Processing,Vol-22,Issue:11,2013.