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Steganography usage to control multimedia stream

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Języki publikacji
EN
Abstrakty
EN
In the paper, a proposal of new application for steganography is presented. It is possible to use steganographic techniques to control multimedia stream playback. Special control markers can be included in the sound signal and the player can detect markers and modify the playback parameters according to the hidden instructions. This solution allows for remembering user preferences within the audio track as well as allowing for preparation of various versions of the same content at the production level.
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  • Institute of Computer Science, Electrical Engineering and Computer Science Faculty, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland
Bibliografia
  • 1. Cvejic N., 2004. Algorithms for audio watermarking and steganography. Oulu University Press, Oulu.
  • 2. Cvejic N., Seppanen T., 2004, Increasing robustness of LSB audio steganography using a novel embedding method. Proc. IEEE Int. Conf. Info. Tech. Coding and Computing, 2, 533-537.
  • 3. Dastoor S.K., 2011, Comparative analysis of Steganographic algorithms intacting the information in the speech signal for enhancing the message security in next generation mobile devices. Information and Communication Technologies (WICT).
  • 4. Delforouzi A., Pooyan M., 2008, Adaptive Digital Audio Steganography Based on Integer Wavelet Transform. Circuits Syst Signal Process, 27, 247-259.
  • 5. Garbarczuk W., Kopniak P., 2005, Steganologia: współczesne metody ochrony informacji. Pomiary Automatyka Kontrola, wyd. sp. nr 3, 21-25.
  • 6. Kim S., Kwon H., Bae K., 2004, Modification of polar echo kernel for performance improvement of audio watermarking. Lecture notes in computer science: international workshop on digital watermarking, 2939(2), 456-466,
  • 7. Kopniak P., 2009, Novel Steganography Method Based on Directional Multiresolution Image Decomposition. Polish Journal of Environmental Studies, 18(3B), 170 174.
  • 8. Koziel G., 2011, Fourier transform based methods in sound steganography, Actual Problems of Economics, 120(6), 321-328.
  • 9. Laskowski M., Szymczyk T., Economic and legal aspects of adjusting online advertisements for visually impaired. Actual Problems of Economics, 108(6), 301-308.
  • 10. Shine K.P., Krishna Kumar S., 2009, Extended Bipolar Echo Kernel for Audio Watermarking. International Conference on Advances in Recent Technologies in Communication and Computing, IEEE Computer Society, 487-489.
  • 11. Shirali-Shahreza, S., Sharif M., 2007, Adaptive Wavelet Domain Audio Steganography with High Capacity and Low Error Rate. Information and Emerging Technologies, ICIET 2007, DOI 10.1109/ ICIET.2007.4381305.
  • 12. Xiang S., Kim H., Huang J., 2008, Audio watermarking robust against time-scale modification and MP3 compression. Signal Processing, 88(10), 2372-2387.
  • 13. Marnani E.K., Karami Z., Molavian Jazi E., 2009, A comparison of some audio watermarking methods. Electrical Engineering, Computing Science and Automatic Control, CCE.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-f75d4d03-7819-46ab-bc88-4492db02bdd2
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