In this groundbreaking new volume, computer researchers discuss the
development of technologies and specific systems that can interpret data
with respect to domain knowledge. Although the chapters each illuminate
different aspects of image interpretation, all utilize a common
approach - one that asserts such interpretation must involve perceptual
learning in terms of automated knowledge acquisition and application, as
well as feedback and consistency checks between encoding, feature
extraction, and the known knowledge structures in a given application
domain. The text is profusely illustrated with numerous figures and
tables to reinforce the concepts discussed.