- We thus propose tailored, "least power" mechanisms for inferencing
with attributes specific for images such as topology, gemometry,
texture and color.
- These mechanisms will be layered such that the appropriate
mechanism is easily identified for each given task (e.g., a functional
mechanism will be used for computing with measurements, thus avoiding
relational search whenever possible).
- The work will be done on the basis of real-world (Agfa) image examples
and their annotations. The examples will be classified along relevant
dimensions, e.g. according to descriptive complexity, for testing
the layered inference mechanisms.