27 January 2009 A framework for evaluating wavelet based watermarking for scalable coded digital item adaptation attacks
Author Affiliations +
A framework for evaluating wavelet based watermarking schemes against scalable coded visual media content adaptation attacks is presented. The framework, Watermark Evaluation Bench for Content Adaptation Modes (WEBCAM), aims to facilitate controlled evaluation of wavelet based watermarking schemes under MPEG-21 part-7 digital item adaptations (DIA). WEBCAM accommodates all major wavelet based watermarking in single generalised framework by considering a global parameter space, from which the optimum parameters for a specific algorithm may be chosen. WEBCAM considers the traversing of media content along various links and required content adaptations at various nodes of media supply chains. In this paper, the content adaptation is emulated by the JPEG2000 coded bit stream extraction for various spatial resolution and quality levels of the content. The proposed framework is beneficial not only as an evaluation tool but also as design tool for new wavelet based watermark algorithms by picking and mixing of available tools and finding the optimum design parameters.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deepayan Bhowmik, Deepayan Bhowmik, Charith Abhayaratne, Charith Abhayaratne, "A framework for evaluating wavelet based watermarking for scalable coded digital item adaptation attacks", Proc. SPIE 7248, Wavelet Applications in Industrial Processing VI, 72480M (27 January 2009); doi: 10.1117/12.816307; https://doi.org/10.1117/12.816307


Survey of wavelet-domain watermarking algorithms
Proceedings of SPIE (July 31 2001)
Impact of rate control tools on very fast non embedded...
Proceedings of SPIE (January 28 2007)
Exhibition QIM-based watermarking for digital cinema
Proceedings of SPIE (February 04 2009)
Real-time video codec using reversible wavelets
Proceedings of SPIE (March 31 2003)
Low-cost wavelet image compression for FPGAs
Proceedings of SPIE (August 31 2009)

Back to Top