Classification of the Era Emotion Reflected on the Image Using Characteristics of Color and Color-Based Classification Method
DC Field | Value | Language |
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dc.contributor.author | Lee, Sang Hwa | - |
dc.contributor.author | Kim, Jung-Yoon | - |
dc.date.available | 2020-02-27T02:41:16Z | - |
dc.date.created | 2020-02-04 | - |
dc.date.issued | 2019-08 | - |
dc.identifier.issn | 0218-1940 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1213 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | WORLD SCIENTIFIC PUBL CO PTE LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING | - |
dc.title | Classification of the Era Emotion Reflected on the Image Using Characteristics of Color and Color-Based Classification Method | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000487188400004 | - |
dc.identifier.doi | 10.1142/S0218194019400114 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, v.29, no.8, pp.1103 - 1123 | - |
dc.identifier.scopusid | 2-s2.0-85072911465 | - |
dc.citation.endPage | 1123 | - |
dc.citation.startPage | 1103 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING | - |
dc.citation.volume | 29 | - |
dc.citation.number | 8 | - |
dc.contributor.affiliatedAuthor | Kim, Jung-Yoon | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Color image | - |
dc.subject.keywordAuthor | emotion | - |
dc.subject.keywordAuthor | color | - |
dc.subject.keywordAuthor | traditional painting | - |
dc.subject.keywordAuthor | emotion extraction | - |
dc.subject.keywordAuthor | emotion image scale | - |
dc.subject.keywordAuthor | color image scale | - |
dc.subject.keywordAuthor | clustering | - |
dc.subject.keywordAuthor | K-means | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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