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Cited 3 time in webofscience Cited 5 time in scopus
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Classification of the Era Emotion Reflected on the Image Using Characteristics of Color and Color-Based Classification Method

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dc.contributor.authorLee, Sang Hwa-
dc.contributor.authorKim, Jung-Yoon-
dc.date.available2020-02-27T02:41:16Z-
dc.date.created2020-02-04-
dc.date.issued2019-08-
dc.identifier.issn0218-1940-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1213-
dc.description.abstractPaintings 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.language영어-
dc.language.isoen-
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING-
dc.titleClassification of the Era Emotion Reflected on the Image Using Characteristics of Color and Color-Based Classification Method-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000487188400004-
dc.identifier.doi10.1142/S0218194019400114-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, v.29, no.8, pp.1103 - 1123-
dc.identifier.scopusid2-s2.0-85072911465-
dc.citation.endPage1123-
dc.citation.startPage1103-
dc.citation.titleINTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING-
dc.citation.volume29-
dc.citation.number8-
dc.contributor.affiliatedAuthorKim, Jung-Yoon-
dc.type.docTypeArticle-
dc.subject.keywordAuthorColor image-
dc.subject.keywordAuthoremotion-
dc.subject.keywordAuthorcolor-
dc.subject.keywordAuthortraditional painting-
dc.subject.keywordAuthoremotion extraction-
dc.subject.keywordAuthoremotion image scale-
dc.subject.keywordAuthorcolor image scale-
dc.subject.keywordAuthorclustering-
dc.subject.keywordAuthorK-means-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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