Location Based Robust Audio Watermarking Algorithm for Social TV System

  • Di Chang
  • Xia Zhang
  • Qiong Liu
  • Ge Gao
  • Yue Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7674)


There is a big gap between TV and social network in conventional Social Networking Services. The mobile terminals cannot get the interactive URL from TV broadcasting automatically and the social network cannot get the location information of TV customers at the same time. To bridge the two kind of media, the information of value-added services hiding in the real-time audio stream of TV programs is transmitted. In this paper, the robust audio watermarking algorithm for social TV system is proposed, which analyze the character of background noise in the air channel, modify the energy coefficients of adjacent frequency bands in DCT domain of original audio carrier, and realize the recycling embedding of synchronization signal and watermarking information into original audio carrier. The experimental results indicate that, the proposed algorithm has a good hidden effect, and it is robust to air-channel background noise attack in transmitting process, AD/DA conversion, common signal processing, etc. In a conclusion, the proposed algorithm could put together TV and social network, which are separated before, and provide new idea for social TV system in its true sense.


Social TV Audio Watermarking DCT 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gao, Y., Wang, M., Zha, Z., Shen, J., Li, X., Wu, X.: Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search. IEEE Transactions on Image Processing (in press)Google Scholar
  2. 2.
    Gao, Y., Tang, J., Hong, R., Dai, Q., Chua, T.-S., Jain, R.: W2Go: A Travel Guidance System by Automatic Landmark Ranking. In: ACM Conference on Multimedia, pp. 123–132 (2010)Google Scholar
  3. 3.
    Gao, Y., Wang, M., Luan, H., Shen, J., Yan, S., Tao, D.: Tag-Based Social Image Search with Visual-Text Joint Hypergraph Learning. In: ACM Conference on Multimedia, pp. 1517–1520 (2011)Google Scholar
  4. 4.
    Ji, R., Duan, L.Y., Chen, J., Yao, H., Yuan, J., Rui, Y., Gao, W.: Location Discriminative Vocabulary Coding for Mobile Landmark Search. International Journal of Computer Vision, 1–25 (2012)Google Scholar
  5. 5.
    Zhang, X.: Audio watermarking algorithm for public information transmission. Journal of Computer Applications 29(9), 2323–2326 (2009)CrossRefGoogle Scholar
  6. 6.
    Guhl, D., Lu, A., Bender, W.: Echo Hiding. In: Anderson, R. (ed.) IH 1996. LNCS, vol. 1174, pp. 295–315. Springer, Heidelberg (1996)CrossRefGoogle Scholar
  7. 7.
    Lei, Z., Yan, B.: Narrowband-Based Audio Watermarking with Self-Synchronization. Chinese Journal of Computers 31(7), 1283–1290 (2008)CrossRefGoogle Scholar
  8. 8.
    You, S., Bai, S.: Audio information hiding algorithm resisting DA/AD conversions. Computer Engineering and Applications 44(7), 113–116 (2008)Google Scholar
  9. 9.
    Kim, W.G., Lee, J.C., Lee, W.D.: An audio Watermarking scheme with hidden signatures. In: International Conference on Signal Processing, Beijing (2000)Google Scholar
  10. 10.
    Steinebach, M., Lang, A., Dittmann, J., et al.: Audio watermarking quality evaluation: Robustness to DA/AD processes. In: Proceedings of the International Conference on Information Technology: Coding and Computing, Washington, pp. 100–103 (2002)Google Scholar
  11. 11.
    Tachibana, R.: Audio watermarking for live performance. In: Security and Watermarking of Multimedia Contents V, pp. 32–43 (2003)Google Scholar
  12. 12.
    Xiang, S., Huang, J., Yang, R.: Time-Scale Invariant Audio Watermarking Based on the Statistical Features in Time Domain. In: Camenisch, J.L., Collberg, C.S., Johnson, N.F., Sallee, P. (eds.) IH 2006. LNCS, vol. 4437, pp. 93–108. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  13. 13.
    Yeo, I.K., Kim, H.J.: Modified patchwork algorithm: A novel audio watermarking scheme. IEEE Trans. on Speech and Audio Processing 11(4), 381–386 (2003)CrossRefGoogle Scholar
  14. 14.
    Ji, R., Yao, H., Sun, X., Liu, W., Tian, Q.: Task-Dependent Visual Codebook Compression. IEEE Transactions on Image Processing, 1Google Scholar
  15. 15.
    Li, W., Xue, X., Lu, P.: Robust audio watermarking based on rhythm region detection. IEEE Electronics Letters 4l(4), 218–219 (2005)CrossRefGoogle Scholar
  16. 16.
    Learning to Distribute Vocabulary Indexing for Scalable Visual Search. IEEE Transactions on MultimediaGoogle Scholar
  17. 17.
    Li, W., Xue, X., Lu, P.: Localized audio watermarking technique robust against time-scale modification. IEEE Trans. on Muhimedia 8(2), 60–69 (2006)CrossRefGoogle Scholar
  18. 18.
    Xia, Z., Di, C., Wei, G., et al.: An Audio Steganography Algorithm Based on Air-Channel Transmitting. Journal of Wuhan University (Natural Science Edition) 57(6), 499–505 (2011)Google Scholar
  19. 19.
    Zhang, X., Chang, D., Yang, W., et al.: An Audio Digital Watermarking Algorithm Transmitted via Air Channel in Double DCT Domain. In: The 2nd International Conference on Multimedia Technology, pp. 2926–2930 (July 2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Di Chang
    • 1
  • Xia Zhang
    • 2
  • Qiong Liu
    • 3
  • Ge Gao
    • 1
  • Yue Wu
    • 1
  1. 1.Department of Computer ScienceWuhan UniversityWuhanChina
  2. 2.School Physics & information EngineeringJianghan UniversityWuhanChina
  3. 3.Department of Electronics & Information EngineeringHuazhong University of Science & TechnologyWuhanChina

Personalised recommendations