Manfred Bogen

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As a world-premiere, the ARiSE Consortium presents the Augmented Reality Teaching Platform (ARTP) and Spinnstube® at the ISMAR 2006 conference. ARiSE is the next step in teaching and learning for basic, middle, and high schools. A mobile AR teaching platform is integrated into the everyday environment of teachers and students, displaying audiovisual and(More)
We describe the Spinnstube®, a new projection-based Augmented Reality display system for collaborative work environments. By simply attaching the system to a desk, real objects are augmented with virtual objects by using a half-silvered mirror. The display system is designed in a way that its components do not interfere with a table. So a user can(More)
1 Abstract The essential aspect of the global evaluation of a service is the opinion of the users of the service. The result of this evaluation expresses the users' degrees of satisfaction [ITU94]. This paper will outline a generic evaluation methodology for multimedia applications like e-mail-based services, the World Wide Web (WWW), and real-time(More)
The CamInSens system is a next-generation self-organizing video surveillance system that combines research being done in the fields of person-tracking, trajectory analysis, visual analytics, and self-organizing system management algorithms. Its purpose is the online threat detection by analysing anomalies in persons' trajectories. Therefore, robust(More)
This paper describes a realization approach to evaluate the best fitting service provider in the context of "The Digital Beethoven House" pilot project, involving the digitizing of a composer-referred collection of colored manuscripts and other sources at the Beethoven House Association (Germany). Practical hints for museums are provided on how to find the(More)
The retrieval performance of content-based image retrieval (CBIR) systems still leaves much to be desired, especially when the system is serving as an interface to an image collection covering many different topics. The problem of missing semantical information about the images leads to great numbers of false matches because of misleading similarities in(More)