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Development of an Image Tagging System Based on Crowdsourcing

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2018, 29(3), pp.297-320
  • DOI : 10.14699/kbiblia.2018.29.3.297
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 21, 2018
  • Accepted : September 7, 2018

Hyeyoung Lee 1 Yunkeum Chang 2

1숙명여자대학교 문헌정보학과
2숙명여자대학교

Accredited

ABSTRACT

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.

Citation status

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