Information and knowledge are actually well and easily distributed thanks to
electronic journals, news, mailing-lists and forums. It is however more
difficult to deploy algorithmic and programming collaboration: the
heterogeneity of the programming languages and the operating systems used by
researchers constitutes a major problem to the design of a common testing
platform. Current solutions exist to develop collaborative work. Generally,
these solutions impose specific programming languages and/or operating systems
to developers. Some others specific rules have to be respected. These heavy
constrains slow down the usage of collaborative programming platforms.
The OpenWatermark project proposes a modern architecture for cooperative
programming exchanges that takes all these aspects into account. Developers
work with their favorite programming languages and operating systems as long as
the OpenWatermark platform supports them.
In this paper, we will present the OpenWatermark platform
(www.openwatermark.org) and its application to the benchmarking of image
watermarking algorithms.
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