Skip to main content
Log in

Noise-resilient compressed domain video watermarking system for in-car camera security

  • Regular Paper
  • Published:
Multimedia Systems Aims and scope Submit manuscript

Abstract

In-car camera system emerges as a very useful technology for automobile drivers, as it can provide proper evidence to insurance companies and to police investigators in case of car accidents. Dashcam, being one of the car video storage devices, stores the data in the SD card which is overwritten and can be tampered very easily. Thus, it is important to develop an in-car security system, where data can be stored in the server and can provide privacy to the user. In this paper, we have proposed a noise-resilient compressed domain video watermarking system for in-car security to document the vehicle history which can be a proof for any mischief. We have used Independent Pass Coding (INPAC) compression technique for designing the system. Here, data generated by the system is stored in the server database which is accessible to the authentic registered user and administrator in case of any claim. This system ensures copyright, proprietorship, authentication and security against third party intrusion. The proposed system is implemented in off-line mode to evaluate the robustness and efficiency of the algorithm, and in online mode to verify the system. Graphical user interface is designed for the end user access, to make it user friendly.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Kim, C., Shin, D., Shin, D., Yang, C.-N.: Secure protection of video recorder video in smart car. Int. J. Distrib. Sens. Netw. 12(12). https://doi.org/10.1177/1550147716681792

    Article  Google Scholar 

  2. Ma, B., Reibman, A.R.: DashCam video compression using historical data” 2016 Picture Coding Symposium (PCS), Nuremberg, pp. 1–5 (2016). https://doi.org/10.1109/PCS.2016.7906326

  3. Bhattacharya, S. Chattopadhyay, T., Pal, A.: A Survey on Different Video Watermarking Techniques and Comparative Analysis with Reference to H.264/AVC. IEEE International Symposium on Consumer Electronics, pp. 1–6 (2006)

  4. Chang, X., Wang, W., Zhao, J., Zhang, L.: A Survey of Digital Video Watermarking. Seventh International Conference on Natural Computation, pp. 61–65 (2011)

  5. Goel, B., Agrawal, C.: An Optimized Un-compressed Video Watermarking Scheme based on SVD and DWT. Sixth International Conference on Contemporary Computing (IC3), pp. 307–312 (2013)

  6. Liu, S., Chen, T., Yao, H., Gao, W.: A Real-time Video Watermarking Using Adjacent Luminance Blocks Correlation Based on Compressed Domain,” 2008 International Intelligent Information Hoding and Multimedia Signal Processing (IIHMSP), pp. 833–836 (2008)

  7. Raghavendra, K., Chetan, K.R.: A Blind and Robust Watermarking Scheme with Scrambled Watermark for Video Authentication,” 2009 IEEE International Internet Multimedia Servive Architecture and Application (IMSAA), pp. 1–6 (2009)

  8. Tabassum, T., Islam, S.M.M.: A Digital Video Watermarking Technique Based on Identical Frame Extraction in 3-Level DWT., 15th International Conference on Computer and Information Technology (ICCIT)”, pp. 101–106 (2012)

  9. Li, L.Z.A.: A Study on Video Watermark Based-on Discrete Wavelet Transform and Genetic Algorithm. First International Workshop on Education Technology and Computer Science, vol. 3, pp. 374–377 (2009)

  10. Asikuzzaman, M.J., Lambert, A.J., Pickering, M.R.: Imperceptible and Robust Blind Video Watermarking Using Chrominance Embedding: A Set of Approaches in the DT CWT Domain. IEEE transactions on Information Forensics and Security, vol. 9 (2014)

    Article  Google Scholar 

  11. Petrovic, R., Yang, D.T.: Audio Watermarking in Compressed Domain. 9th International Conference on Teleocomminication in Modern Satellite and Broadcasting Services TELSIKS’09, pp. 395–401 (2009)

  12. Mansouri, A., Aznaveh, A.M., Torkamani-Azar, F., Torkamani-Azar, F.: A Low Complexity Video Watermarking in H.264 Compressed Domain. IEEE Transactions on Information Forensics and Security, vol. 5 (2010)

    Article  MATH  Google Scholar 

  13. Naveen, C., Satpute, V.R., Kulat, K.D., Keskar, A.G.: Video encoding techniqies based on 3D-DWT. IEEE Student’ Conference on Electrical, Electronics & Computer Science (2014)

  14. Shapiro, J.M.: Embedded image coding using zero trees of wavelets co-efficient. IEEE Trans. Action Signal Process. 41 (1993)

  15. Said, A., Pearlman, W.A.: A new, fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuits Syst. Video Technol. 6(3), 243–250 (1996)

    Article  Google Scholar 

  16. He, C., Zheng, Y.F.: Optimal 3-D coefficient tree structure for 3-D wavelet video coding. IEEE Trans Circuits Syst Video Technol 13, 10 (2003)

  17. Cheggoju, N., Satpute, V.R.: INPAC: INdependent PAss Coding algorithm for robust image data transmission through low SNR channels. Vis Comput (2017). https://doi.org/10.1007/s00371-017-1361-1 (in press)

    Article  Google Scholar 

  18. Al-Taweel, S.A.M., Sumari, P., Kamarulhaili, H.: Digital video watermarking based on 3D-discrete wavelet transform domain. In: IEEE International Conference on Signal and Image Processing Application (ICSIPA), pp. 352–356 (2009)

  19. Tianming, G., Yanjie, W.: DWT-based Digital image Watermarking Algorithm. 10th International Conference on (vol. 3), pp. 163–166 (2011)

  20. Tian, L., Zheng, N., Xue, J., Xu, T.: A CAVLC-based Blind Watermarking Method for H.264/AVC Compressed Video. IEEE Asia-Pacific Services Computing Conference APSCC’.08, pp. 1295–1299 (2008)

  21. Nambakhsh, M.S., Ahmadian, A., Ghavami, M., Dilmaghani, R.S., Karimi-Fard, S.: A Novel Blind Watermarking of ECG Signals on Medical Images Using EZW Algorithm. 28th international conference of the IEEE Enginerring in medicine and biology society, pp. 3274–3277 (2006)

  22. Satpute, V.R., Kadu, S., Naveen, Ch.: Compressed domain video watermarking using EZW and chaos. IEEE Region 10 Conference (TENCON2016) (2016)

  23. Satpute, V.R., Kulat, K.D., Keskar, A.G.: Comparative analysis of video compression mechanisms using 3D-DWT with EZW. In: 9th International Conference on Industrial and Information Systems (ICIIS). ABVIIIT, Gwalior, 1–7 (2014)

  24. Naveen, Ch., Satpute, V.R., Kulat, K.D., Keskar, A.G.: Comparitive analysis of video compression techniques involving EZW Encoded 3D-DWT with AVI. In: IEEE International Symposium on Signal Processing and Information Technology. Jaypee Institute of Information Technology, Noida, pp. 96–101 (2014)

  25. Wang, Z., Bovik, A.C.: Mean square error: love it or leave it? IEEE Signal Process. Mag. 26, 98–117 (2009)

    Article  Google Scholar 

  26. Objective perceptual assessment of video quality: Full reference television”, ITU-T (2004)

  27. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)

    Article  Google Scholar 

  28. Sliwinski, P.: Nonlinear system identification by Haar Wavelets. Lecture Notes in Statistics, vol. 210. Springer, New York (2013)

    Book  MATH  Google Scholar 

  29. Carmen, P.-L., Ricardo, L.-R.: Notions of chaotic cryptography: sketch of a chaos based cryptosystem. Appl. Cryptogr. Netw. Secur. (2012) (InTech)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Naveen Cheggoju.

Additional information

Communicated by L. Zhou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kadu, S., Cheggoju, N. & Satpute, V.R. Noise-resilient compressed domain video watermarking system for in-car camera security. Multimedia Systems 24, 583–595 (2018). https://doi.org/10.1007/s00530-017-0584-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00530-017-0584-3

Keywords

Navigation