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

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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.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan

    Wen-Yen Tseng & Jen-Wei Huang

  2. Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University, Tainan, Taiwan

    Kai-Hsiang Chen

  3. Graduate Program of Multimedia Systems and Intelligent Computing, Academia Sinica, Taipei, Taiwan

    Kai-Hsiang Chen

Authors
  1. Wen-Yen Tseng
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  2. Kai-Hsiang Chen
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  3. Jen-Wei Huang
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Correspondence to Kai-Hsiang Chen.

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Tseng, WY., Chen, KH. & Huang, JW. Crowdsourced object-labeling based on a game-based mobile application. Multimed Tools Appl 78, 18137–18168 (2019). https://doi.org/10.1007/s11042-018-6944-y

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  • DOI: https://doi.org/10.1007/s11042-018-6944-y

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