Working Papers in Acquisition of Knowledge for Image Understanding Research.

Abstract

Use of knowledge has facilitated comples problem solving in many areas of research. However, in the Image Understanding area, we do not have any systematic treatment and codification of knowledge that is useful in image perception. Further, we do not eveh have adequate tools for acquiring the necessary knowledge base. In this report we present an experimental paradigm for knowledge acquisition, discuss an analysis technique, and illustrate the different types of knowledge that seem to be useful in image understanding research. In the first paper, three major aspects of knowledge are presented: primitive Feature Extraction Operators, Rewriting Rules, and Flow of Control. The second paper discusses the picture-puzzle paradigm and the various ways in which it can be used as a tool for acquisition of knowledge. The third paper deals with a computer program that assists the transcription of typical protocols obtained from the picture puzzle tasks. Finally, the last paper of the report discusses the pros and cons of using eye-fixation data to acquire knowledge used in some of the tasks of the picture-puzzle paradigm. The total effort represents an account of the initial results of a new experimental paradigm. We hope that this will provide a sound basis for understanding the issues of knowledge used in visual perception and aid in the modelling of seeing systems.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1977
Accession Number
ADA037769

Entities

People

  • Marty Schultz
  • Omer Akin
  • Raj Reddy
  • Ronald Ohlander

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Automated Speech Recognition
  • Cognition
  • Computer Graphics
  • Computer Programs
  • Computer Science
  • Computer Vision
  • Computers
  • Feature Extraction
  • Image Processing
  • Information Processing
  • Perception
  • Psychology
  • Recognition
  • Universities
  • Visual Perception

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML