Video Watermarking with Shot Detection

  • Yueh-Hong Chen
  • Hsiang-Cheh Huang
Part of the Intelligent Systems Reference Library book series (ISRL, volume 40)


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.


Discrete Wavelet Transform Watermark Scheme Color Noise Digital Watermark Wavelet Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 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. 2.
    Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Transations on Image Processing 8, 58–68 (1999)CrossRefGoogle Scholar
  3. 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. 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. 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. 6.
    Huang, H.C., Fang, W.C.: Metadata-based image watermarking for copyright protection. Simulation Modelling Practice and Theory 18, 436–445 (2010)CrossRefGoogle Scholar
  7. 7.
    Huang, H.C., Chen, Y.H.: Genetic fingerprinting for copyright protection of multicast media. Soft Computing 13, 383–391 (2009)CrossRefGoogle Scholar
  8. 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)CrossRefGoogle Scholar
  9. 9.
    Huang, H.C., Chu, C.M., Pan, J.S.: The optimized copyright protection system with genetic watermarking. Soft Computing 13, 333–343 (2009)CrossRefGoogle Scholar
  10. 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. 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. 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)CrossRefGoogle Scholar
  13. 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. 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),
  15. 15.
    Cotsaces, C., Nikolaidis, N., Pitas, I.: Video shot boundary detection and condensed representation: A review. IEEE Signal Processing Magazine 23, 28–37 (2006)CrossRefGoogle Scholar
  16. 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)CrossRefGoogle Scholar
  17. 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. 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. 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. 20.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (2008)Google Scholar
  21. 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. 22.
    Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, Basel (2001)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringFar East UniversityTainanTaiwan, R.O.C.
  2. 2.Department of Electrical EngineeringNational University of KaohsiungKaohsiungTaiwan, R.O.C.

Personalised recommendations