By Ali Mohammad Al-Haj
In recent times, the super development of electronic expertise has elevated the benefit with which electronic multimedia documents are kept, transmitted, and reproduced. simply because conventional copyright tools are fallacious for setting up possession, electronic watermarking is taken into account the most effective options to avoid unlawful and malicious copying and distribution of electronic media. complex strategies in Multimedia Watermarking: picture, Video and Audio purposes introduces readers to state of the art examine in multimedia watermarking. overlaying new developments in electronic photo watermarking and methods for implementation and optimization throughout varied media, this ebook is a worthy significant other for pros and researchers operating in components comparable to rfile watermarking, multimedia fingerprinting, info hiding, secured e-commerce, copyright safety, and implementation of real-time multimedia watermarking.
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Extra info for Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications
Proc. Of the ACM Multimedia. , & Bloom, J. (2001). Digital Watermarking: Principles & Practice. San Francisco: The Morgan Kaufmann Series in Multimedia and Information Systems. Cox, I. , & Miller, M. (1997). A review of watermarking and importance of perceptual modeling. Proceedings of SPIE Human Vision and Imaging, 3016, 92–99. Cox, I. , & Bloom, J. (2000). Watermarking Applications and Their Properties. In Proc. of Int. Conf. Information Technology: Coding and Computing, (pp. 6-10). Cox, I. , & Kalker, T.
The general transformations (attacks) that can be done on images (Fei et al. 2004) are: rotation, redimension, compression (transforming the image to JPEG) and cropping. Because it is not known what transformation (attack) the user did, all these transformations are verified one by one and the percentage of similitude between the original image and the verified one is returned. The previous algorithm of untransformed image may be applied if the image is cropped. In this case it may be possible to lose some marked pixels depending on the position where the image was cropped.
LNCS]. Lecture Notes in Computer Science, 470–484. , & Mukaiyama, A. (2004). Watermarking a 3D Shape Model Defined as a Point Set. In Proceeding of CW (pp. 392–399). Takahashi. , & Pun, T. (2000). Content Adaptive Watermarking Based on a Stochastic Multi-resolution Image Modeling. In Tenth European Signal Processing Conference. Petitcolas, F. A. , Anderson, R. , & Kuhn, M. G. (1999). Information hiding—A Survey. In Proc. IEEE 87(7, July), 1062–1078. , & Finkelstein, A. (1999). Robust mesh watermarking.
Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications by Ali Mohammad Al-Haj