• Journal of Internet Computing and Services
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• v.16 no.1
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• pp.29-37
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• 2015

In this paper, we propose a robust pre-processing module for camera-based Optical Music Score Recognition (OMR) on mobile device. The captured images likely suffer for recognition from many distortions such as illumination, blur, low resolution, etc. Especially, the complex background music sheets recognition are difficult. Through any symbol recognition system, the staff line height and staff line space are used many times and have a big impact on recognition module. A robust and accurate staff line height and staff line space are essential. Some staff line height and staff line space are proposed for binary image. But in case of complex background music sheet image, the binarization results from common binarization algorithm are not satisfactory. It can cause incorrect staff line height and staff line space estimation. We propose a robust staff line height and staff line space estimation by using run-length encoding technique on edge image. Proposed method is composed of two steps, first step, we conducted the staff line height and staff line space estimation based on edge image using by Sobel operator on image blocks. Each column of edge image is encoded by run-length encoding algorithm Second step, we detect the staff line using by Stable Path algorithm and removal the staff line using by adaptive Line Track Height algorithm which is to track the staff lines positions. The result has shown that robust and accurate estimation is possible even in complex background cases.

• The Journal of Korean Association of Computer Education
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• v.14 no.4
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• pp.1-10
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• 2011

It is the basic direction of revised education course to bring up the autonomous and creative Koreans to lead the 21st century. In the music education of the middle school it could be said that music program using computer is a very effective medium for learners' sake of stimulating their audio-visual sense at the same time. In this study, I will look around the facility of the computer music program and tried to find the application method to connect the creative learning activity in music class. And I will also show the application method in the musical activity area. For this, I proposed the method for students' creative learning activity in the middle of using Finale 2010 for music notation, Window Moviemaker for image editing and Goldwave for sound editing.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.570-581
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• 2004

The purpose of this study is to analyze the acceptance and interpretation of pop musician's image in the Korean youth subculture, Fan Costume play(Fancos). Fancos subculture took the most active attitude to accepts of the pop musician's image and therefore was assumed to have various and differential acceptance aspects. The ethnographic method was used in order to approach more closely from their point of view. The cultural activity of Fancos subculture was imitation and reappearance of pop musician's appearance. Actually Fancos is a kind of fan-culture which idolized Korean pop music star. The acceptance of musician's appearance in Fancos is found out in two aspects. One is passive acceptance aspects that inforces conformity of star fashion and follows servilely ideal body image which promoted by cultural industry. The other is unique acceptance aspects that Fancos members interpret the musician's image in their own way. Those members experience pleasure through their own meaning. And homology of their appearance makes a distinction between of themselves from other youth and intensifies their group identity. As above analyzed, Fancos subculture has differential acceptance of pop music star's image comparing to other youth and even their stylistic appearance reflects not only their fandom but also their own meaning. Consequently, pop musician's image as a popular cultural text is accepted not equal to all populace but dissimilar along with contexts and trails of the acceptance group.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.413-426
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• 2020

This study researches the association between associative vocabulary and fashion image language in order to extract ideas that can be used as basic data for design ideas. Classic - avant-garde imaged language were chosen as theme words and each 70 questionnaires per a final image word were used for analysis. We obtained the following results by researching keywords that explained classic image words through a word cloud technique. It was found to have high central representation in the order of suit, classical, basic, music, Chanel, black and traditional. The core key words explaining avant-garde image language were found to have a central representation in the order of : peculiar, huge, Comme des Garçons, artistic, creative, deconstruction and individuality. We extracted the necessary idea dimensions needed for design ideas through associative network graph analysis. In the case of classical image language, it was named as the Mannish Item, Music, Modern Color, and the Traditional Classicality dimensions. In the case of avant-garde image language, it was named as the Key Image, Artistic Aura, Key Design and Designers dimensions.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.363-366
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• 2008

In this paper, I describe about edutainment contents to infant. We can call following PANSORI that user can experience national classical music that is our country tradition music using imagination musical instrument instead of actuality musical instrument, and is one at national classical music. Also manufacturing operationalized Touch-Face that is intelligence style interface platform that can play that tradition pattern and basis use style hand that is a tool the immediate perception enemy use and touch display directly as unaccustomed infant and children are easy and convenient to base. Because of these reason, educational contents can become help to study efficiently because there is in preschool education more on Touch-Face base.

• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.16-25
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• 2008

Today, mobile phone is a necessity of modern life. For that reason, we suggest a particular system of a mobile phone which take a picture of music score image and automatically play it without any technical knowledges about the music score information. This experiment makes midi, acknowleging separate symbols via preprocessing to music score image taken. This paper utilizes 11 sorts of the score image taken by a mobile phone camera for this experiment. Through this method we suggest, as much as 98% on average takes place, which is very high recognizing ratio. Also, as we introduce this system in a mobile phone by porting, it takes 8.63 seconds on average to create midi following input of images.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.427-430
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• 1992

In this paper, we proposed an algorithm for the musical note recognition. Firstly, a given bit-mapped music score image is converted to a set of individual note pattern images via vertical projection. Then, the pitch of a note is determinal by comparison in the note-head position with the reference five-lines. Also, the length of a note is found via leader clustering with a set of normalized note patterns. Finally, a datafile to play the music is obtained using the pitch and length of musical notes. Experimental results with a simple musical score image show that the proposed scheme is performed well.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.39-51
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• 2021

This study is based on literature review and theoretical background, we will explore the interrelationship between music and meditation and meditation image production through music, discuss the relationship between theremin instruments and musical meditation. It also describes whether the musical direction through an emotional approach meets the purpose of music meditation, focusing on the creative process and analysis of the work. In this study, the emotional aspect of music was developed, centering on the auditory characteristics of music and the inner element of meditation, to find the relationship between each other, and to prepare a specific plan for music directing to induce the inner emotion of meditation. This study deduced a way to apply music meditation with an emotional approach centering on the melody through the use of the Theremin instrument, and tried to approach the inner meaning and methodology of the work academically. It is hoped that these studies will contribute to the development of music meditation programs and the expansion of music meditation.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.58-69
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• 2014

The purpose of this study was to examine stereotype of gender role in music video, comparing of gender image, sexuality(body exposure & sexual expression) by genre and gender difference. A content analysis of 300 songs and 517 characters was conducted between 2004 and 2013. Results were including followings. While women engaged in classic image, man engaged in naive image. R&B and Ballad demonstrated more classic image of women. Ballad, R&B, and Rock demonstrated more naive image of men than other genre. Sexuality was more prominent in dance and hip-hop genre. Compared to male character, female character was more sexually objectified, held to exposer herself and more likely to demonstrated sexually alluring behavior.

• The Journal of the Acoustical Society of Korea
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• v.34 no.3
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• pp.247-255
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• 2015

This paper presents a study on the performance of the music search based on the automatically recognized music-emotion labels. As in the other media data, such as speech, image, and video, a song can evoke certain emotions to the listeners. When people look for songs to listen, the emotions, evoked by songs, could be important points to consider. However; very little study has been done on the performance of the music-emotion labels to the music search. In this paper, we utilize the three axes of human music perception (valence, activity, tension) and the five basic emotion labels (happiness, sadness, tenderness, anger, fear) in measuring music similarity for music search. Experiments were conducted on both genre and singer datasets. The search accuracy of the proposed emotion-based music search was up to 75 % of that of the conventional feature-based music search. By combining the proposed emotion-based method with the feature-based method, we achieved up to 14 % improvement of search accuracy.