Narrow Results

Our objective in the interactive formulation of the "formal description schema - fds" model is the modeling of the prototypical, i.e. the subjective, perceptual ability of a human "expert", the ultimate human or robotic decision maker. In this paper, we present our fds-approach and methodology for solving the problem of modeling and exercising perceptual recognition [3–6]. We limit our discussion to one-dimensional variational profiles. We view the fds-model as a two-stage procedural model. Concerning the "early" (pre-attentive) recognition stage, we define the "structural identity of a k-norm class, k∈K" — SkID — as a tool for quick shadowing of sensory data and positioning instantiations of sufficient resemblance to interactively pre-defined spatio–temporal norm classes. Attentive recognition tools follow for assessing conformity of SkID-pointed occurrences.

These days, development of computer device leads to computer user explosion. On the other hand, conventional technology cannot handle user's diversity, because the computer cannot treat each user's subjectivity. It is important to materialize techniques which can answer user's subjective requests flexibly for the coming new media epoch. This research focuses on studying how subjective impressions are grounded in physical perceptions, especially in visual perception. In this paper, we propose a model for subjectivity and physical perceptions, and give an example in an image database system.

ART MUSEUM is our prototype system which can treat each user's subjective interpretation for advanced image database. It allows users to retrieve images from a database of impressionist paintings (e.g. Monet's works) by using adjective words. The system learns the correlation between the feature of sample paintings and user's descriptions, and provides interactive and progressive learning mechanisms. We show the interesting experimental results on ART MUSEUM (Multimedia Database with Sense of Color and Construction upon the Matter of ART) system.