Image retrieval system to estimate impression words from images using a neural network

Takashi Hayashi, Masafumi Hagiwara

Research output: Contribution to journalConference article


In this paper, we propose a new method to estimate impression words from images using neural network and the image retrieval system. Since the human sensitivity and various images are flexibly connected using a neural network in the proposed system, it can automatically estimate impression words from various kinds of images. As a result, the proposed system can reflect human's kansei (impression and sensitivity) effectively and treat wider variety of images. We show some experimental results. The proposed system can estimate correct impression words and successfully retrieve correct images.

Original languageEnglish
Pages (from-to)150-155
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - Orlando, FL, USA
Duration: 1997 Oct 121997 Oct 15


ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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