바로가기메뉴

본문 바로가기 주메뉴 바로가기
 

Journal of the Korean Society for Library and Information Science

  • P-ISSN1225-598X
  • E-ISSN2982-6292

Article Contents

Prev Next
e-Submission

Vol.54 No.2

PDF Citation Share

A Study on Designing Metadata Standard for Building AI Training Dataset of Landmark Images

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2020, v.54 no.2, pp.419-434
https://doi.org/10.4275/KSLIS.2020.54.2.419

(2020). A Study on Designing Metadata Standard for Building AI Training Dataset of Landmark Images. , 54(2), 419-434, https://doi.org/10.4275/KSLIS.2020.54.2.419

Abstract

The purpose of the study is to design and propose metadata standard for building AI training dataset of landmark images. In order to achieve the purpose, we first examined and analyzed the state of art of the types of image retrieval systems and their indexing methods, comprehensively. We then investigated open training dataset and machine learning tools for image object recognition. Sequentially, we selected metadata elements optimized for the AI training dataset of landmark images and defined the input data for each element. We then concluded the study with implications and suggestions for the development of application services using the results of the study.

keywords
랜드마크, 이미지 검색, 객체인식, 인공지능 머신러닝, 메타데이터 표준, 이미지 추천시스템, Landmark, Image Retrieval, Object Recognition, AI Machine Learning, Metadata Standard, Image Recommender System

Journal of the Korean Society for Library and Information Science

e-Submission OA Policy