A multi-resolution image understanding system based on multi-agent architecture for high-resolution images

Keiji Yanai, Koichiro Deguchi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Recently a high-resolution image that has more than one million pixels is available easily. However, such an image requires much processing time and memory for an image understanding system. In this paper, we propose an integrated image understanding system of multi-resolution analysis and multi-agent-based architecture for high-resolution images. The system we propose in this paper has capability to treat with a high-resolution image effectively without much extra cost. We implemented an experimental system for images of indoor scenes.

Original languageEnglish
Pages (from-to)1642-1650
Number of pages9
JournalIEICE Transactions on Information and Systems
VolumeE84-D
Issue number12
Publication statusPublished - 2001 Dec

Keywords

  • Image understanding system
  • Multi-agent
  • Multi-resolution analysis
  • Scene interpretation

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A multi-resolution image understanding system based on multi-agent architecture for high-resolution images'. Together they form a unique fingerprint.

  • Cite this