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      Could Grid Facilitate Demanding Watermarking Media Applications?

      1 , 1 , 1 , 2 , 1 , 2

      4th International LeGE-WG Workshop - Towards a European Learning Grid Infrastructure: Progressing with a European Learning Grid (4LEGE)

      LeGE-WG Workshop

      27-28 April 2004

      E-learning, Grid, security, watermarking

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          Abstract

          Copyright protection is becoming an important issue for organisations that distribute digital content through e-learning applications. One of the most promising methods for copyright protection is digital watermarking, a highly demanding application in terms of CPU load. In this communication, some specific cases are presented where GRID computing could be used as an enabling/assisting technology for watermarking. Specific cases of heavy load mathematical transformations for large media objects are discussed. A proposal for incorporating the watermarking procedure in the Grid architecture is also briefly presented.

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          Most cited references 2

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          Secure spread spectrum watermarking for multimedia.

          This paper presents a secure (tamper-resistant) algorithm for watermarking images, and a methodology for digital watermarking that may be generalized to audio, video, and multimedia data. We advocate that a watermark should be constructed as an independent and identically distributed (i.i.d.) Gaussian random vector that is imperceptibly inserted in a spread-spectrum-like fashion into the perceptually most significant spectral components of the data. We argue that insertion of a watermark under this regime makes the watermark robust to signal processing operations (such as lossy compression, filtering, digital-analog and analog-digital conversion, requantization, etc.), and common geometric transformations (such as cropping, scaling, translation, and rotation) provided that the original image is available and that it can be successfully registered against the transformed watermarked image. In these cases, the watermark detector unambiguously identifies the owner. Further, the use of Gaussian noise, ensures strong resilience to multiple-document, or collusional, attacks. Experimental results are provided to support these claims, along with an exposition of pending open problems.
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            Watermarking scheme for large images using parallel processing

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              Author and article information

              Contributors
              Conference
              April 2004
              April 2004
              : 1-4
              Affiliations
              Digital Systems and Media Computing Laboratory

              School of Sciences and Technology, Hellenic Open University,

              13-15 Tsamadou st. GR- 26222, Patras, Greece
              R.A. Computer Technology Institute,

              61 Riga Feraiou st., GR-26221, Patras, Greece
              Article
              10.14236/ewic/4LEGE2004.2
              © B. Vassiliadis et al. Published by BCS Learning and Development Ltd. 4th International LeGE-WG Workshop - Towards a European Learning Grid Infrastructure: Progressing with a European Learning Grid, Stuttgart, Germany

              This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

              4th International LeGE-WG Workshop - Towards a European Learning Grid Infrastructure: Progressing with a European Learning Grid
              4LEGE
              4
              Stuttgart, Germany
              27-28 April 2004
              Electronic Workshops in Computing (eWiC)
              LeGE-WG Workshop
              Product
              Product Information: 1477-9358BCS Learning & Development
              Self URI (journal page): https://ewic.bcs.org/
              Categories
              Electronic Workshops in Computing

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