A composition-based image retrieval method for environment-visualization with images and spatio-temporal information

Yuka Toyoshima, Yasuhiro Hayashi, Yasushi Kiyoki

研究成果: Conference contribution

抄録

It is promising to combine multiple images for expressing query-image and detecting situations and phenomena in environmental image databases. This paper presents a composition-based image retrieval method for environment-visualization with images and spatio-temporal information. A query-image is created by combining multiple images based on color and composition. This method realizes to detect the particular situation of environment and find out the images similar to that situation of environment. This method uses multiple divided-part-images in a single image and Euclid distance calculation for detecting highly-related images to a query-image. In this paper, we present several experimental results to clarify the feasibility and effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトルInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
編集者Tri Hadiah Muliawati, Muhammad Febrian Ardiansyah, Dewi Mutiara Sari, Desy Intan Permatasari, Mu'arifin
出版社Institute of Electrical and Electronics Engineers Inc.
ページ90-97
ページ数8
ISBN(電子版)9781538680797
DOI
出版ステータスPublished - 2019 1月 28
イベント2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Bali, Indonesia
継続期間: 2018 10月 292018 10月 30

出版物シリーズ

名前International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings

Conference

Conference2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018
国/地域Indonesia
CityBali
Period18/10/2918/10/30

ASJC Scopus subject areas

  • 人工知能
  • 信号処理

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