Abstract
Content analysis technologies give more and more emphasis on multimedia semantics. However most watermarking systems are frame-oriented and do not focus on the protection of semantic regions. As a result, they fail to protect semantic content especially in case of the copy-paste attack. In this framework, a novel unsupervised semantic region watermark encoding scheme is proposed. The proposed scheme is applied to human objects, localized by a face and body detection method that is based on an adaptive two-dimensional Gaussian model of skin color distribution. Next, an invariant method is designed, based on Hu moments, for properly encoding the watermark information into each semantic region. Finally, experiments are carried out, illustrating the advantages of the proposed scheme, such as robustness to RST and copy-paste attacks, and low overhead transmission.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cox, J., Miller, M.L., Bloom, J.A.: Digital Watermarking, San Mateo. Morgan Kaufmann, San Francisco (2001)
Lin, C.Y., Wu, M., Bloom, J., Cox, I., Miller, M., Lui, Y.: Rotation, scale, and translation resilient watermarking for images. IEEE Trans. on Image Processing 10, 767–782 (2001)
Wu, M., Yu, H.: Video access control via multi-level data hiding. In: Proc. of the IEEE ICME, N.Y. York (2000)
Pereira, S., Pun, T.: Robust template matching for affine resistant image watermarks. IEEE Transactions on Image Processing 9(6) (2000)
Abu-Mostafa, Y., Psaltis, D.: Image normalization by complex moments. IEEE Trans. on Pattern Analysis and Machine Intelligent 7 (1985)
Hu, M.K.: Visual pattern recognition by moment invariants. IEEE Trans. on Information Theory 8, 179–187 (1962)
Alghoniemy, M., Tewfik, A.H.: Geometric Invariance in Image. Watermarking in IEEE Trans. on Image Processing 13(2) (2004)
Devaney, R.: An Introduction to Chaotic Dynamical Systems. Addison-Wesley, Redwood City (1989)
Yang, Huang, T.S.: Human Face Detection in Complex Background. Pattern Recognition 27(1), 53–63 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tzouveli, P., Ntalianis, K., Kollias, S. (2009). Semantic Region Protection Using Hu Moments and a Chaotic Pseudo-random Number Generator. In: Corchado, E., Zunino, R., Gastaldo, P., Herrero, Á. (eds) Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS’08. Advances in Soft Computing, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88181-0_37
Download citation
DOI: https://doi.org/10.1007/978-3-540-88181-0_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88180-3
Online ISBN: 978-3-540-88181-0
eBook Packages: EngineeringEngineering (R0)