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

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

Research output: Contribution to journalArticlepeer-review


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
Issue number13
Publication statusPublished - 2019 Jul 15

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'Crowdsourced object-labeling based on a game-based mobile application'. Together they form a unique fingerprint.

Cite this