TY - JOUR
T1 - A multi-resolution image understanding system based on multi-agent architecture for high-resolution images
AU - Yanai, Keiji
AU - Deguchi, Koichiro
PY - 2001/12
Y1 - 2001/12
N2 - 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.
AB - 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.
KW - Image understanding system
KW - Multi-agent
KW - Multi-resolution analysis
KW - Scene interpretation
UR - http://www.scopus.com/inward/record.url?scp=0035678188&partnerID=8YFLogxK
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M3 - Article
AN - SCOPUS:0035678188
SN - 0916-8532
VL - E84-D
SP - 1642
EP - 1650
JO - IEICE Transactions on Information and Systems
JF - IEICE Transactions on Information and Systems
IS - 12
ER -