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Video Object Watermarking Based on Moments

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Visual Content Processing and Representation (VLBV 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3893))

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Abstract

A robust video object based watermarking scheme, based on Zernike and Hu moments, is proposed in this paper. Firstly, a human video object detector is applied to the initial image. Zernike and the Hu moments of each human video object are estimated and an invariant function for watermarking is incorporated. Then, the watermark is generated modifying the moment values of each human video object. In the detection scheme, a neural network classifier is initially used in order to extract possible watermarked human video objects from each received input image. Then, a watermark detection procedure is applied for video object authentication. A full experiment confirms the promising performance of the proposed scheme. Furthermore, the performances of the two types of moments are extensively investigated under several attacks, verifying the robustness of Zernike moments comparing to Hu moments.

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References

  1. Kutter, M., Bhattacharjee, S.K., Ebrahimi, T.: Towards second generation watermarking schemes. In: Proc. IEEE Int. Conf. Image Processing, pp. 320–323 (1999)

    Google Scholar 

  2. Lin, C.Y., Wu, M., Bloom, J.A., Cox, I.J., Miller, M.L., Lui, Y.M.: Rotation, scale, and translation resilient watermarking for images. IEEE Trans. Image Processing 10, 767–782 (May 2001)

    Article  MATH  Google Scholar 

  3. Abu-Mostafa, Y.S., Psaltis, D.: Image normalization by complex moments. IEEE Trans. Pattern. Anal. Machine Intell. PAMI-7, 46–55 (1985)

    Article  Google Scholar 

  4. Hu, M.K.: Visual pattern recognition by moment invariants. IEEE Trans. Inform. Theory 8, 179–187 (1962)

    MATH  Google Scholar 

  5. Zernike, F.: Beugungstheorie des Schneidenverfahrens und seiner verbeserten Form. Phasenkontrastmethode Physica 1, 689–701 (1934)

    Article  MATH  Google Scholar 

  6. Teague, M.: Image analysis via the general theory of moments. J. Opt Soc. Am. 70(8), 920–930 (1980)

    Article  MathSciNet  Google Scholar 

  7. Alghoniemy, M., Tewfik, A.H.: Image watermarking by moment invariant. In: Proc. IEEE Int. Conf. Image Processing, pp. 73–76 (2000)

    Google Scholar 

  8. Tsapatsoulis, N., Avrithis, Y., Kollias, S.: Facial Image Indexing in Multimedia Databases. Pattern Analysis & Applications 4, 93–107 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  9. Doulamis, N., Doulamis, A., Ntalianis, K., Kollias, S.: An Efficient Fully-Unsupervised Video Object Segmentation Scheme Using an Adaptive Neural Network Classifier Architecture. IEEE Transactions on Neural Networks 14, 616–630 (2003)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. National Technical University of Athens, Electrical and Computer Engineering School, Athens, Greece

    Paraskevi K. Tzouveli, Klimis S. Ntalianis & Stefanos D. Kollias

Authors
  1. Paraskevi K. Tzouveli
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  2. Klimis S. Ntalianis
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  3. Stefanos D. Kollias
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Editor information

Editors and Affiliations

  1. University of Cagliari, DIEE, Piazza d’Armi,, 09123, Cagliari, Italy

    Luigi Atzori  & Daniel D. Giusto  & 

  2. Telecommunications Group, Dipartimento di Elettronica per l’Automazione, Università degli Studi di Brescia, via Branze, 38, I25123, Brescia, Italy

    Riccardo Leonardi

  3. Instituto Superior Técnico – Instituto de Telecomunicações, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    Fernando Pereira

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© 2006 Springer-Verlag Berlin Heidelberg

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Tzouveli, P.K., Ntalianis, K.S., Kollias, S.D. (2006). Video Object Watermarking Based on Moments. In: Atzori, L., Giusto, D.D., Leonardi, R., Pereira, F. (eds) Visual Content Processing and Representation. VLBV 2005. Lecture Notes in Computer Science, vol 3893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11738695_10

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  • DOI: https://doi.org/10.1007/11738695_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33578-8

  • Online ISBN: 978-3-540-33579-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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