Development of an Image Tagging System Based on Crowdsourcing

Lee,, H. , & Chang,, Y. (2018). Development of an Image Tagging System Based on Crowdsourcing. 한국비블리아학회지, 29(3), 297-320, https://doi.org/10.14699/kbiblia.2018.29.3.297

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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: 이미지, 태깅, 이미지 태깅 시스템, 크라우드소싱, 휴먼 태그, 머신 태그

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Article Contents

Vol.29 No.3

Development of an Image Tagging System Based on Crowdsourcing

Abstract

한국비블리아학회지