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EXC 284:  Multimodal Computing and Interaction - Robust, Efficient and Intelligent Processing of Text, Speech, Visual Data and High Dimensional Representations

Subject Area Computer Science
Term from 2007 to 2019
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 39134088
 
The past three decades have brought dramatic changes in the way we live and work. This phenomenon is widely characterised as the advent of the Information Society. Ten years ago, most digital content was textual. Today, it has expanded to include audio, video and graphical data. The challenge is now to organise, understand and search this multimodal information in a robust, efficient and intelligent way, and to create dependable systems that allow natural and intuitive multimodal interaction.
The cluster of excellence addresses this challenge. The term multimodal describes the different kinds of information such as text, speech, images, video, graphics and high-dimensional data, and the way it is perceived and communicated, particularly through vision, hearing and human expression. The first goal is to enable natural multimodal interaction with information systems anytime and anywhere, exploiting the wealth of modalities present in everyday human-to-human interaction. The systems must be aware of each user's environment and situation, must react to speech, text, and gestures, and must respond with speech, text, video, virtual 3D environments and virtual characters.
The second goal is to enhance the ability of computer systems to acquire, process and present different modes of data in an efficient and robust way. We aim for systems that can analyse and interpret multimodal information even when it is large, distributed, noisy and possibly incomplete; that can organise the obtained knowledge for powerful querying; and that can produce 3D virtual environments to visualise complex information in real-time. We refer to this type of computing as multimodal computing.
The cluster of excellence comprises the nationally top-ranked Computer Science and Computational Linguistics and Phonetics departments of Saarland University, the Max Planck Institute for Informatics, the German Research Center for Artificial Intelligence and the newly established Max Planck Institute for Software Systems. All participating institutions have agreed on a common long-term research agenda, which forms the basis of this proposal.
An integral goal of the cluster of excellence is the promotion of young researchers, and as such, we will commit the majority of the requested funding to the establishment of junior research groups.
DFG Programme Clusters of Excellence
Applicant Institution Universität des Saarlandes
 
 

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