Framework of image understanding based on PDP model-proposition of ICE(image CEntered) system

Naoyuki Tsuruta, Takuma Akagi, Rin ichiro Taniguchi, Makoto Amamiya

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

One of the most important tasks in image understanding is to map visual information into symbolic concepts which describe an input scene. However, the mapping presents the following difficulties: 1. How to resolve the ambiguity in visual information. 2. How to reduce the redundancy of visual information. 3. How to describe scenes efficiently using symbolic concepts. In this paper, we propose the ICE System, which is a framework of computer vision addressing the above three problems. First we will see a multi-layered model based on the hypercolumn with selective attention mechanism can solve the first two problems. Then, we will describe how the ICE System is structurally constructed on the basis of the multi-layered model.

本文言語英語
ホスト出版物のタイトルProceedings of the International Joint Conference on Neural Networks
出版社Publ by IEEE
ページ177-180
ページ数4
ISBN(印刷版)0780314212, 9780780314214
出版ステータス出版済み - 12 1 1993
イベントProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
継続期間: 10 25 199310 29 1993

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks
1

その他

その他Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3)
CityNagoya, Jpn
Period10/25/9310/29/93

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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引用スタイル