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

Yuka Toyoshima, Yasuhiro Hayashi, Yasushi Kiyoki

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

Abstract

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.

Original languageEnglish
Title of host publicationInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
EditorsTri Hadiah Muliawati, Muhammad Febrian Ardiansyah, Dewi Mutiara Sari, Desy Intan Permatasari, Mu'arifin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-97
Number of pages8
ISBN (Electronic)9781538680797
DOIs
Publication statusPublished - 2019 Jan 28
Event2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Bali, Indonesia
Duration: 2018 Oct 292018 Oct 30

Publication series

NameInternational 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
CountryIndonesia
CityBali
Period18/10/2918/10/30

Keywords

  • Composition-based Image Retrieval
  • Image Processing
  • Query Creation
  • SDGs (Sustainable Development Goals)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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  • Cite this

    Toyoshima, Y., Hayashi, Y., & Kiyoki, Y. (2019). A composition-based image retrieval method for environment-visualization with images and spatio-temporal information. In T. H. Muliawati, M. F. Ardiansyah, D. M. Sari, D. I. Permatasari, & Mu'arifin (Eds.), International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings (pp. 90-97). [8628546] (International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2018.8628546