Security Method for Multimedia Content by Using Watermarking


Article Preview

Digital watermarking is a technique developed to help copyright protection of Image, audio & video files. It has been spurred by the growth of the Internet, and the ease of copying. This has led to an unprecedented numbers in copyright infringements. The digital audio & video watermarking is concerned with embedding data in a signal the watermark data can be accurately detected. Watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The signal is divided into frames and each one is decomposed adaptively by Empirical Mode Decomposition into intrinsic oscillatory components. The data embedding rate of EMD algorithm is 46.9-50.3 b/s; the robustness of hidden watermark is identified using Mp3 compression, additive noise, and quantization, cropping, filtering and resampling.



Edited by:

R. Edwin Raj, M. Marsaline Beno and M. Carolin Mabel




R. Kavitha et al., "Security Method for Multimedia Content by Using Watermarking", Applied Mechanics and Materials, Vol. 626, pp. 1-6, 2014

Online since:

August 2014




* - Corresponding Author

[1] Kais Khaldi and Abdel-Ouahab Boudraa, Audio Watermarking Via EMD, IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 21, NO. 3, MARCH (2013).


[2] T. JAYAMALAR, Dr. V. RADHA, Survey on DigitalVideo Watermarking Techniques and Attacks onWatermarks, International Journal of Engineering Scienceand Technology, Vol. 2(12), 2010, 6963-6967.

[3] I. Cox, J. Kilian, T. Leighton, and T. Shamoon, Secure spread spectrum watermarking for images, audio and video, in Proc. IEEE Int. Conf. Image Processing (ICIP 96), Lausanne, Switzerland, Sept. (1996).

[4] L. Wang, S. Emmanuel, and M. S. Kankanhalli, EMD and psychoacoustic model based watermarking for audio, in Proc. IEEE ICME, 2010, p.1427.


[5] N. K. Zaman , K. M. I. Khalilullah, Md. W. Islam, and Md.K.I. Molla, A robust digital audio watermarking algorithm using empirical mode decomposition, in Proc. IEEE CCECE, 2010, p.1–4.


[6] LV Jiu-ming, Luo Jing-qing and Yuan Xue-hua, Digital Watermark technique based on Speech Signals, - IEEE proceedings, volume 11, pp.215-225, (2004).


[7] A. H. Pedro, F. Claudia, R. Cumplido and J. J. GarciaHernandez, Towards the Construction of a Benchmark for Video Watermarking Systems: Temporal synchronization Attacks, Proc. of the 53nd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp.628-631, (2010).


[8] S. Wu,J. Huang, D. Huang, and Y.Q. Shi, Efficiently self- synchronized audio watermarking for assured audio data transmission, IEEE Trans. Broadcasting, vol. 51, no. 1, p.69–76, Mar. (2005).

[9] D. Kiroveski and H. S. Malvar, Spread-spectrum watermarking of audio signals, IEEE Trans. Signal Process, vol. 51, no. 4, p.1020–1033, Apr. 2003. simulation.


[10] J. Gordy and L. Bruton, Performance evaluation of digital audio watermarkingalgorithms, in Proc. IEEE Midwest Symp. Circuits Systems, vol. 1, 2000, p.8–11.

[11] D. Kirovski, H. Malvar, Robust spread-spectrum audio watermarking, " In EEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP, 01), vol. 3, PP. 1345-1348, May (2001).

[12] F. Hartung and M. Kutter, Multimedia watermarking techniques, , Proceedings of the IEEE, vol. 87, no. 7, pp.1079-1107, July (1999).

[13] Tilki J F, Beex A. Encoding a hidden digital signature onto an audio signal using psychoacoustic masking. 7th International Conference on Signal Processing Application Technology, 1996, 1: 476~480.


[14] Tilki J F, Beex A . Encoding a hidden auxiliary channel onto a digitalaudio signal using psychoacoustic masking, IEEE Southeastcon'97, 1997, 1: 331~333.