DEMO: Extracting Multiple Promotional Media Elements from Urban Spaces

Yusuke Motoki, Makoto Nakayama, Shunsuke Kondo, Eri Ishikawa, Sakura Jinno, Jin Nakazawa

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

Abstract

In this study, we construct an object detection model that targets billboard advertisements in images and detects them regardless of their content and models to extract multiple elements from billboards. In addition, we try multiple methods for each task to clarify an appropriate method. As a demonstration, we prepare a web application that extracts elements from images of billboards by using the model constructed in this study.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages407-409
Number of pages3
ISBN (Electronic)9781665412520
DOIs
Publication statusPublished - 2021 Aug
Event7th IEEE International Conference on Smart Computing, SMARTCOMP 2021 - Virtual, Irvine, United States
Duration: 2021 Aug 232021 Aug 27

Publication series

NameProceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021

Conference

Conference7th IEEE International Conference on Smart Computing, SMARTCOMP 2021
Country/TerritoryUnited States
CityVirtual, Irvine
Period21/8/2321/8/27

Keywords

  • billboard advertisement
  • image classification
  • information extraction
  • object detection
  • urban computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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