Development of an Image Tagging System Based on Crowdsourcing (크라우드소싱 기반 이미지 태깅 시스템 구축 연구)

Hyeyoung Lee (이혜영); Yunkeum Chang (장윤금)

doi:10.14699/kbiblia.2018.29.3.297

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.

KEYWORDS

Image, Tagging, Image Tagging System, Crowdsourcing, Human Tag, Machine Tag

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* References for papers published after 2023 are currently being built.

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Journal of the Korean Biblia Society for Library and Information Science 2023 KCI Impact Factor : 0.82

Development of an Image Tagging System Based on Crowdsourcing

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Biblia Society for Library and Information Science 2023 KCI Impact Factor : 0.82

Development of an Image Tagging System Based on Crowdsourcing

ABSTRACT

KEYWORDS

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