Semantic Networks for Understanding Scenes
By: by Gerhard Sagerer, Heinrich Niemann
Contributors: Niemann, Heinrich
Series: Advances in Computer Vision and Machine Intelligence; Advances in computer vision and machine intelligence
Publisher: Springer US; Imprint; Springer
Published: 1997
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 500
ISBN-13: 9781489919137; 9781489919151
Subjects: Software Engineering/Programming and Operating Systems; Computer science; Software engineering; Computer Science
Description: 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£.
Table of contents: title: 1 Introduction; title: 2 Segmentation; title: 3 Knowledge Representation; title: 4 A Knowledge Representation Language; title: 5 Judgment; title: 6 Control; title: 7 Acquisition of Knowledge; title: 8 Explanation and user Interface; title: 9 Applications; title: References.