Crowdsourced object-labeling based on a game-based mobile application

Wen Yen Tseng, Kai Hsiang Chen, Jen-Wei Huang

Research output: Contribution to journalArticle

Abstract

Unparalleled growth in the sharing of media via networks has prompted a great deal of research into issues pertaining to image retrieval. The training and verification of image retrieval systems requires a large number of labelled images with ground truth; however, most researchers employ public datasets for their experiments, the results are restricted by the size and content of the dataset. In this study, we developed a system based on a mobile phone App for the collection of information pertaining to the location of objects in images. The proposed system is simple and easy to use. Experiments demonstrate the excellent performance of the proposed system with regard to accuracy and response time. This study demonstrates the feasibility of collecting image information using mobile phones.

Original languageEnglish
Pages (from-to)18137-18168
Number of pages32
JournalMultimedia Tools and Applications
Volume78
Issue number13
DOIs
Publication statusPublished - 2019 Jul 15

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Image retrieval
Mobile phones
Labeling
Application programs
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Tseng, Wen Yen ; Chen, Kai Hsiang ; Huang, Jen-Wei. / Crowdsourced object-labeling based on a game-based mobile application. In: Multimedia Tools and Applications. 2019 ; Vol. 78, No. 13. pp. 18137-18168.
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Crowdsourced object-labeling based on a game-based mobile application. / Tseng, Wen Yen; Chen, Kai Hsiang; Huang, Jen-Wei.

In: Multimedia Tools and Applications, Vol. 78, No. 13, 15.07.2019, p. 18137-18168.

Research output: Contribution to journalArticle

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