Skip to main content

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 40))

  • 878 Accesses

Summary

This chapter presents a method to embed a watermark in a video for recording copyright information to prevent the video from being pirated. Firstly, a video is cut into small shots, and the shots are classified with clustering algorithm in accordance with their similarity. Then, the DWT (Discrete Wavelet Transform is applied to transform a watermark into wavelet domain, and embed the wavelet coefficients in appropriate shots according to the level of its coefficients. Up to this step, the procedure of watermark embedding is completed. On the other hand, while extracting watermark, it is also necessary to cut a video into shots and extract the frame from each shot to extract the wavelet coefficient embedded. The last step for extracting watermark is collocating all parameters to extract the original watermark by using IDWT (Inverse DWT). With the method proposed, most potion of watermark could be extracted even when only partial video shots are available. It is able to obtain not only higher NC (normalized cross-correlation) value, but also better visual quality compared to directly embedding partial watermark data into shots without adopting DWT.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cox, I.L., Miller, M.L., Bloom, J.A., Fridrich, J., Kalker, T.: Digital Watermarking and Steganography. Elsevier Science & Technology, London (2007)

    Google Scholar 

  2. Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Transations on Image Processing 8, 58–68 (1999)

    Article  Google Scholar 

  3. Zeng, W., Liu, B.: On resolving rightful ownerships for digital images by invisible watermarks. In: Proc. Int’l Conf. on Image Processing, pp. 552–555 (1997)

    Google Scholar 

  4. Inoue, H., Miyazaki, A., Yamsmoto, A., Katsura, T.: A digital watermark technique based on the wavelet transform and its robustness on image compression and transformation. IEICE Transations on Fundamentals of Electronics, Communications, and Computer Sciences E82-A, 2–10 (1999)

    Google Scholar 

  5. Huang, H.C., Chen, Y.H., Abraham, A.: Optimized watermarking using swarm-based bacterial foraging. Journal of Information Hiding and Multimedia Signal Processing 1, 51–58 (2010)

    Google Scholar 

  6. Huang, H.C., Fang, W.C.: Metadata-based image watermarking for copyright protection. Simulation Modelling Practice and Theory 18, 436–445 (2010)

    Article  Google Scholar 

  7. Huang, H.C., Chen, Y.H.: Genetic fingerprinting for copyright protection of multicast media. Soft Computing 13, 383–391 (2009)

    Article  Google Scholar 

  8. Huang, H.C., Chang, F.C., Fang, W.C.: Reversible data hiding with histogram-based difference expansion for QR code applications. IEEE Trans. Consumer Electronics 57, 779–787 (2011)

    Article  Google Scholar 

  9. Huang, H.C., Chu, C.M., Pan, J.S.: The optimized copyright protection system with genetic watermarking. Soft Computing 13, 333–343 (2009)

    Article  Google Scholar 

  10. Kii, H., Onishi, J., Ozawa, S.: The digital watermarking method by using oth patchwork and DCT. In: Proc. Int’l Conf. on Multimedia Computing and Systems, pp. 895–899 (1999)

    Google Scholar 

  11. Ko, C.C., Yang, B.Z.: An Integrated Technique for Video Watermarking. In: Proc. Int’l Cong. on Computer and Information Science, pp. 37–42 (2007)

    Google Scholar 

  12. Zhu, B., Swanson, M.D., Tewfik, A.H.: Multiresolution scene-based video watermarking using perceptual models. IEEE Journal on Selected Areas in Communications 16, 540–550 (1998)

    Article  Google Scholar 

  13. Swanson, M.D., Zhu, B., Chau, B., Tewfik, A.H.: Object-based transparent video watermarking. In: Proc. IEEE First Workshop on Multimedia Signal Processing, pp. 369–374 (1997)

    Google Scholar 

  14. Koz, A., Alatan, A.A.: Video watermarking using temporal ensitivities of human visual system. In: Proc. Workshop on Tranmitting, Processing and watermarking Multimedia Contents (2003), http://www.eee.metu.edu.tr/~alatan/PAPER/COST276.Workshop.03.B.pdf

  15. Cotsaces, C., Nikolaidis, N., Pitas, I.: Video shot boundary detection and condensed representation: A review. IEEE Signal Processing Magazine 23, 28–37 (2006)

    Article  Google Scholar 

  16. Tang, X., Gao, X., Liu, J., Zhang, H.J.: A Spatial-Temporal Approach for Video Caption Detection and Recognition. IEEE Transactions on Neural Networks 13, 961–971 (2002)

    Article  Google Scholar 

  17. Cernkova, Z., Kotropoulos, C., Pitas, I.: Video Shot Segmentation Using Singular Value Decomposition. In: Proc. Int’l. Conf. on Multimedia and Expo, pp. 301–304 (2003)

    Google Scholar 

  18. Dugad, R., Ratakonda, K., Ahuja, N.: Robust video shot change detection. In: Proc. IEEE Second Workshop on Multimedia Signal Processing, pp. 376–381 (1998)

    Google Scholar 

  19. Lin, T., Zhang, H.J.: Automatic video scene extraction by shot grouping. In: Proc. Int’l Conf. on Pattern Recognition, pp. 39–42 (2000)

    Google Scholar 

  20. Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (2008)

    Google Scholar 

  21. Alsabti, K., Ranka, S., Singh, V.: An Efficient K-Means Clustering Algorithm. In: Proc. IPPS/SPDP Workshop on High Performance Data Mining (1999)

    Google Scholar 

  22. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, Basel (2001)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yueh-Hong Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Chen, YH., Huang, HC. (2013). Video Watermarking with Shot Detection. In: Pan, JS., Huang, HC., Jain, L., Zhao, Y. (eds) Recent Advances in Information Hiding and Applications. Intelligent Systems Reference Library, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28580-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28580-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28579-0

  • Online ISBN: 978-3-642-28580-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics