• Fashion & Textile Research Journal
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• v.17 no.4
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• pp.524-540
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• 2015

This study develops textile pattern design ideas created through the visualization of music. Methods of auditory and synesthesia were employed to analyze various attributes of popular music genres and appoint language image, shape image, and color image to obtain their interrelationships. This study provides data that can be used to express emotional images on textile print pattern designs. This research used different genres of popular music as stimuli. The language image was extracted and introduced to the overall color scheme; in addition, the color image was verified. The analysis of the color image was executed by applying it with the color set image scale of I.R.I colors. Then, the color image of the target genre of popular music was examined and analyzed through a color tone system. The preference in shape image was realized through visual images based on basic principles of points, lines, and sides composition; subsequently, an analysis of the emotional image of popular music followed. An examination of the emotional images of different popular music genres have led to the discovery that language image, color image, and shape image all share a common emotional image. There was also a realization that similarity and interrelationship exists in language, color, and shape images experienced by listening to popular music.

• Journal of the Korean Society of Costume
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• v.26
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• pp.101-121
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• 1995

The Purpose of this study was to investigate homology between the Popular music and Fashion of youthful subculture and how the image of popular music have influenced on the 90's fashion. As the result, Korean youthful subculture analized to be different from western youthful subculture. In western countries, the style of youthful subculture groups spread to tricle up as developed themselves but represented tricle down phenomenon in Korea. Because life con-dition of Korean Youthful was different from westerns in everything. The Image of popular music have an influenced on the 90's fashion, it is be classified into the Jazz image, the Country & Western image, the Rock image, and Hip-Hop, Ragge image. 1. The jazz image from Jazz music has come back dandism of the nostalgia mood and intro-duce ethnic sense into fashion. 2. The Country & Western image is reflected in fashion of accessories details, materials and Coordination item. 3. The rock image from Acid Rock and Punk Rock effected the advent of hippie mood fashion, ethnic, ecology, new unisex fashion and Punk fashion trend. 4. The hip-hop, raggae image from Rap and Raggae music showed on fashion of primitive mood's naturism, Sports wear's generalization and dualism. After the 90th, youthful fashion of new gener-ation may be infered constantly on the move toward $\ulcorner Fashion democracy \lrcorner$formation.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.251-256
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• 2016

The music video was produced by the multimedia type of a video clip by adding the image to match it with the release of audio recordings. mass production. Although originally it started as a means of promoting music as mere receive attention as the main content of the music cable broadcast M-TV began mass production. The 21st century has used the technology in various fields, including animated films and live action films, documentaries smart phone era. Among attempts to analyze their work tends to center the photographer and music video director Anton Corbijin and Stephen Sednaoui representing a photographic image of a music video

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1464-1485
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• 2021

Emotional style of multimedia art works are abstract content information. This study aims to explore emotional style transfer method and find the possible way of matching music with appropriate images in respect to emotional style. DCNNs (Deep Convolutional Neural Networks) can capture style and provide emotional style transfer iterative solution for affective image generation. Here, we learn the image emotion features via DCNNs and map the affective style on the other images. We set image emotion feature as the style target in this style transfer problem, and held experiments to handle affective image generation of eight emotion categories, including dignified, dreaming, sad, vigorous, soothing, exciting, joyous, and graceful. A user study was conducted to test the synesthesia emotional image style transfer result with ground truth user perception triggered by the music-image pairs' stimuli. The transferred affective image result for music-image emotional synesthesia perception was proved effective according to user study result.

• Journal of Korea Game Society
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• v.20 no.2
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• pp.75-90
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• 2020

The purpose of this study is to identify the functional role of music, which is one of the main elements that make up PC games. To this end, theme music by genre of PC game was divided through analysis and then the relationship between variables was analyzed by visually positioning the distance between 'music type', 'structural element of music' and 'image' using multiple correspondence matching analysis. As a result, it was confirmed that there was a difference in location between the types of music by game genre, the structural elements of music, and the characteristics of the image.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.484-492
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• 2016

Role of music in an image can be divided into a supplementary function to express narrative of image and an independent function to become the subject of music and to lead the image. To perceive sound through hearing and then, to make it visualized is called visual music. Since the 19th century, image synchronization of music through colored hearing has been continuously attempted by artists in their works. Also in the 20th century, many artists could attempt time-wise concept of movement passing the bounds of three-dimensional expression due to development of cinema. In such a process, artists with strong experimental spirits inferred correlation between sound and image and then, pioneered new genre of visual music. As a result, the times are being changed from those of listening to those of watching, and various works are being produced by experimental attempt of various music and images. This thesis aims to investigate aesthetic characteristics of modern visual music and then, to conduct comparative analysis on how visual music using colors are utilized in diversified fields such as movie, animation, music video and media art.

• Journal of Fashion Business
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• v.24 no.1
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• pp.88-101
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• 2020

The music videos of BTS go beyond the limit of media promoting music and shows their meaning in various ways and complete the visual message of music through fashion style. BTS' fashion style in the music videos shows a change in symbolic representation of the genre of each album and song, of which gender images are changing aligned with the music messages of BTS. The purpose of this study was to derive gender images of fashion style in BTS music videos and to interpret their meaning based on Judith Butler's theory that performativity creates discourse through iterative process. It is conducted as a research method, an analytical study was conducted in parallel with literature studies and empirical case analysis. The scope of the study was limited to 301 costumes that appeared in 21 official music videos from debut single album '2Cool 4 Skool' released in 2013 to the mini album 'Map of the Soul: Persona' released in 2019. As a result of the analysis, the controversial fashion style, challenging fashion style, boyish fashion style, hybrid fashion style, the playful fashion style were revealed. The conclusion of studying the gender image of BTS, interpreted by this analysis using Judith Butler's theory, is as follows. The gender image of BTS is the traditional image that identifies with the dominant gender discourse, the resistive gender image that intentionally distances mainstream culture, the eclectic image parodying the gender of the opposing term, and the deconstructive image that transcends the dominant gender discourse.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.356-360
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• 2002

This study is about the way of music composition which is based on S/W system and also shows the skill of moving image edit for using the composed music. The result of this contents informs the mixture of a composed music by the Midi program and a moving image for using by the S/W system, also guides many students that the Computer Music Composition and Image Edit is not a difficult sphere. It is not only a main subject but also a main goal of this study.

• Journal of IKEEE
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• v.24 no.1
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• pp.254-259
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• 2020

This paper is the implementation of the conversion system from image to music based on intentional synesthesia. The input image based on color, texture, and shape was converted into melodies, harmonies and rhythms of music, respectively. Depending on the histogram of colors, the melody can be selected and obtained probabilistically to form the melody. The texture in the image expressed harmony and minor key with 7 characteristics of GLCM, a statistical texture feature extraction method. Finally, the shape of the image was extracted from the edge image, and using Hough Transform, a frequency component analysis, the line components were detected to produce music by selecting the rhythm according to the distribution of angles.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.