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
Baru-baru ini imej resolusi tinggi yang mempunyai lebih daripada satu juta piksel tersedia dengan mudah. Walau bagaimanapun, imej sedemikian memerlukan banyak masa pemprosesan dan memori untuk sistem pemahaman imej. Dalam makalah ini, kami mencadangkan sistem pemahaman imej bersepadu bagi analisis berbilang resolusi dan seni bina berasaskan pelbagai ejen untuk imej resolusi tinggi. Sistem yang kami cadangkan dalam kertas kerja ini mempunyai keupayaan untuk merawat dengan imej resolusi tinggi dengan berkesan tanpa banyak kos tambahan. Kami melaksanakan sistem percubaan untuk imej pemandangan dalaman.
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Salinan
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
Salinan
@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},}
Salinan
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 -