Semantic networks for understanding scenes

The explosion in the use of digital imaging in recent years has made it necessary to develop computer languages that can efficiently translate photographic images into their digital analogues. This state-of-the-science guide presents the technical problems that need to be overcome in the development of this technology. The text proceeds from a review of the standard models and system architectures in use today to new systems under investigation. Chapters cover: segmentation knowledge representation languages criteria for judgment search and control algorithms explanation in a semantic network applications in medical and industrial contexts, as well as those involved in speech understanding. £/LIST£.