Classification of Tourist Photo for Intelligent Tourism Service (지능형 관광 서비스를 위한 관광 사진 분류체계 개발)

Cho， Nahye (조나혜); Youngok Kang (강영옥); 윤지영; 박소연

Classification of Tourist Photo for Intelligent Tourism Service

Journal of the Korean Cartographic Association
Abbr : JKCA
2019, 19(3), pp.87-101
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography
Received : December 15, 2019
Accepted : December 24, 2019
Published : December 31, 2019

Cho， Nahye ¹, Youngok Kang ², 윤지영 ³, 박소연 ³

¹이화여자대학교 사회교육과
²이화여자대학교
³일반대학원 사회과교육과 지리학전공

Accredited

ABSTRACT

In recent years technology of Convolutional Neural Network (CNN) among the technologies of deep learning has evolved dramatically and has shown an outstanding performance in the analysis of image data. First of all, the training of deep learning model is prerequisite to classify the photos posted by the tourists on Web by applying CNN technology. In this study we aim to develop the photo classification system in view of travel purpose in order to classify the photos posted by tourists on Flickr. We developed the category for photo classification by reviewing around 38,000 photos posted by tourists as well as by analysing literatures and web sites, and then verified the category by classifying 8,400 photos one by one manually according to the category developed. The category we developed has 3 hierarchical levels such as 13 major classification, 64 medium classification and 164 minor classification. We expect that our study can applied in base material when one tries to classify the photos for travel purpose by using the CNN deep learning model.

KEYWORDS

Flickr, Social Network Service, Photo Classification for Tourist purpose, Deep Learning, Convolutional Neural Network, Korea Tour

Citation status

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

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