TY - GEN
T1 - The Color Analysis of “Lolita” Fashion Style in Japan
AU - Sripian, Peeraya
AU - Miyatake, Keiko
AU - Laohakangvalvit, Tipporn
AU - Ohkura, Michiko
N1 - Funding Information:
Acknowledgement. This work was partially supported by JSPS KAKENHI Grant Number 20K12032.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Nowadays, the Japanese word “Kawaii” has been officially recognized internationally and used in many studies. Fashion is one of the top industries that is seems associated with “Kawaii” in Japan. This work focuses on Kawaii fashion that can be observed at Harajuku, the place that is popular for teenagers in Japan to show off their outfit coordination. Japanese Lolita is a unique fashion style that can be seen at Harajuku. It is empirically known for some distinct features such as the usage of pastel color. However, the style has never been objectively clarified yet. In this study, we objectively clarify the Lolita fashion style using color feature extraction method, i.e., the calculation of Colorfulness and the dominant color in the HSV color space.
AB - Nowadays, the Japanese word “Kawaii” has been officially recognized internationally and used in many studies. Fashion is one of the top industries that is seems associated with “Kawaii” in Japan. This work focuses on Kawaii fashion that can be observed at Harajuku, the place that is popular for teenagers in Japan to show off their outfit coordination. Japanese Lolita is a unique fashion style that can be seen at Harajuku. It is empirically known for some distinct features such as the usage of pastel color. However, the style has never been objectively clarified yet. In this study, we objectively clarify the Lolita fashion style using color feature extraction method, i.e., the calculation of Colorfulness and the dominant color in the HSV color space.
KW - Colorfulness
KW - Fashion
KW - Kawaii
KW - Lolita
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U2 - 10.1007/978-3-031-05311-5_44
DO - 10.1007/978-3-031-05311-5_44
M3 - Conference contribution
AN - SCOPUS:85133029445
SN - 9783031053108
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 623
EP - 633
BT - Human-Computer Interaction. Theoretical Approaches and Design Methods - Thematic Area, HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
A2 - Kurosu, Masaaki
PB - Springer Science and Business Media Deutschland GmbH
T2 - Human Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -