Image segmentation search engine applied to a distributed archiving architecture for content retrieval system to educational products

The advanced access to different databases by means of one single interface has become a critical and important requirement for most archives and content providers. This paper describes an application case for a system architecture capable of retrieving large and diversified contents by means of innovative networking and search engines based on the Qimera platform. The system is supposed to automatically select contents from different repositories, and making them available trough an interface which has editing tools for direct usage of the contents. The application is studied to be integrated into educational products delivering dynamic composite content by means of a simple and transparent user interface.