By Topic

Efficient Watermarking Strategies

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Steinebach, M. ; Fraunhofer SIT, Darmstadt ; Hauer, E. ; Wolf, P.

Digital watermarking today is used in various applications. Copyright protection for online shops by customer identification watermarking, also called transaction watermarking, may be the most prominent example for this, offering an alternative to more restrictive digital rights management approaches. But in order to enable efficient transaction watermarking, a new challenge for applied algorithms arises: Besides the common requirements of transparency and robustness a very fast embedding strategy is necessary as otherwise users would face unacceptable delays before they can download their marked content. This can be addressed either by designing algorithms of very low complexity or by choosing suitable support mechanisms to speed up watermark embedding. The first approach is still an open challenge as watermarking algorithms of low complexity today fail to provide high robustness and transparency. We therefore provide an introduction to three strategies to support fast watermark embedding: Container watermarking based on pre-calculations which today is already used in industrial applications, client-server watermarking where the content is marked after the transfer to the customer and grid watermarking using the computational power of grid networks.

Published in:

Automated Production of Cross Media Content for Multi-Channel Distribution, 2007. AXMEDIS '07. Third International Conference on

Date of Conference:

28-30 Nov. 2007