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http://dx.doi.org/10.4275/KSLIS.2020.54.2.419

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

Kim, Jinmook (강남대학교 산업데이터사이언스학부)
Publication Information
Journal of the Korean Society for Library and Information Science / v.54, no.2, 2020 , pp. 419-434 More about this Journal
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
Landmark; Image Retrieval; Object Recognition; AI Machine Learning; Metadata Standard; Image Recommender System;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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