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Application Scenarios

As a general assumption, in we follow a bottom-up approach to AI, grounding representation and reasoning models on the psycho-physical and perceptual aspects. Examples of bottom-up approaches starting from the signal, perceptual level of representation of musical signals can be found in [80,8,183].

According to our bottom-up approach to AI and multimedia, we are mainly interested in the study and development of ``autonomous'' multimedia systems, that is, autonomous agents characterized by multimodal interaction with user(s) in an unstructured and evolving environment [201,320]. In particular, examples of real world scenarios that are considered in are the following:

The main keypoints considered in the design of experimental system architectures in these application scenarios are: (i) high-level integration of different modalities and skills; (ii) high level, multimodal interaction with the real world in real time: for example, such a system builds up representations and reasons on a realistic model of what is happening on stage, e.g., for deciding how to interpret or generate a music object, far more than a simple ``triggering'' mechanism: interaction therefore means a deeper mechanism than a simple temporal synchronization of chunks of music or graphics/animation data. Given the complexity of the problem domain, we deem that a single knowledge representation and reasoning formalism is not sufficient for all the aspects of such complex domains.

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Esprit Project 8579/MIAMI (Schomaker et al., '95)
Thu May 18 16:00:17 MET DST 1995