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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherPubl by IEEE
Pages177-180
Number of pages4
ISBN (Print)0780314212, 9780780314214
Publication statusPublished - Dec 1 1993
EventProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
Duration: Oct 25 1993Oct 29 1993

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume1

Other

OtherProceedings 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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