The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
최근에는 100만 픽셀 이상의 고해상도 이미지를 쉽게 얻을 수 있습니다. 그러나 이러한 이미지는 이미지 이해 시스템에 많은 처리 시간과 메모리를 필요로 한다. 본 논문에서는 고해상도 영상을 위한 다중해상도 분석과 다중 에이전트 기반 아키텍처의 통합 영상 이해 시스템을 제안한다. 본 논문에서 제안하는 시스템은 큰 추가 비용 없이 효과적으로 고해상도 영상을 처리할 수 있는 능력을 갖추고 있다. 실내 장면 이미지를 위한 실험 시스템을 구현했습니다.
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부
Keiji YANAI, Koichiro DEGUCHI, "A Multi-Resolution Image Understanding System Based on Multi-Agent Architecture for High-Resolution Images" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 12, pp. 1642-1650, December 2001, doi: .
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_12_1642/_p
부
@ARTICLE{e84-d_12_1642,
author={Keiji YANAI, Koichiro DEGUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={A Multi-Resolution Image Understanding System Based on Multi-Agent Architecture for High-Resolution Images},
year={2001},
volume={E84-D},
number={12},
pages={1642-1650},
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.},
keywords={},
doi={},
ISSN={},
month={December},}
부
TY - JOUR
TI - A Multi-Resolution Image Understanding System Based on Multi-Agent Architecture for High-Resolution Images
T2 - IEICE TRANSACTIONS on Information
SP - 1642
EP - 1650
AU - Keiji YANAI
AU - Koichiro DEGUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2001
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.
ER -