Detailed Information

Cited 3 time in webofscience Cited 5 time in scopus
Metadata Downloads

Classification of the Era Emotion Reflected on the Image Using Characteristics of Color and Color-Based Classification Method

Authors
Lee, Sang HwaKim, Jung-Yoon
Issue Date
Aug-2019
Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
Keywords
Color image; emotion; color; traditional painting; emotion extraction; emotion image scale; color image scale; clustering; K-means
Citation
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, v.29, no.8, pp.1103 - 1123
Journal Title
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Volume
29
Number
8
Start Page
1103
End Page
1123
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1213
DOI
10.1142/S0218194019400114
ISSN
0218-1940
Abstract
Paintings convey the composition and characteristics of artists; therefore, it is possible to feel the intended style of painting and emotion of each artist through their paintings. In general, basic elements that constitute traditional paintings are color, texture, and composition (formative elements constituting the paintings are color and shape); however, color is the most crucial element expressing the emotion of a painting. In particular, traditional colors manifest the color containing historicity of the era, so the color shown in painting images is considered a representative color of the culture to which the painting belongs. This study constructed a color emotional system by analyzing colors and rearranged color emotion adjectives based on color combination techniques and clustering algorithm proposed by Kobayashi as well as I.R.I HUE & TONE 120 System. Based on the embodied color emotion system, this study confirmed classified emotions of images by extracting and classifying emotions from traditional Korean painted images, focusing on traditional painted images of the late Joseon Dynasty. Moreover, it was possible to verify the cultural traits of the era through the classified emotion images.
Files in This Item
There are no files associated with this item.
Appears in
Collections
게임대학원 > 게임공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jung Yoon photo

Kim, Jung Yoon
College of IT Convergence (Department of Game Media)
Read more

Altmetrics

Total Views & Downloads

BROWSE