• 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.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.618-622
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• 2008

In this paper, we suggest new music composition algorithm based on fractal theory. User can define and control fractal shape by setting an initial state and production rules in L-System. We generate an asymmetric fractal tree based on L-System and probability. Then a music is generated by the fractal tree image using sonification techniques. We introduce two composition algorithm using the fractal tree. First, monophonic music can be generated by mapping x and y axis to velocity and pitch, respectively Second, harmonic music also can be generated by mapping x and y axis to time and pitch, respectively Using our composition algorithm, user can easily generate a music which has repeated pattern created by recursive feature of fractal, and a music which has structure similar to fractal tree image.

• 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.

• Cartoon and Animation Studies
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• s.20
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• pp.87-104
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• 2010

Animation creates meaning and affection by combinig image and sound like film. directed by Yuri Norstein is a good text for analyzing animation sound in that it combines image and various music and sound effects well. This study focuses on analyzing the way that sound function to make meaning in this text. Generally sound is categorized into dialogue, music, and sound effect. And animation has its own characteristic in each category. The voice for dialogue is created corresponding to the image of the character and the rhythm is very important in Animation. Plus Sound effect in animation can be said to mimic not just sound but also movement. This study analyzes sound based on three sound factors and the concepts of the point of listening, subjective sound, and sound bridge. Subjective sound using the point of listening of the wolf and the baby bestows a special position on the main characters in the text. It is the overall characteristic of the sound use of this text that the repetitive combination of sound and image, the linguistic and annotative function of sound effect, and comparatively conventional use of music and sound effect enhance the affection and readability.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.876-879
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• 2010

본 논문에서는 음악이 음악 아닌 다른 대상의 이미지나 분위기를 의미 있는 구조로 만들어주는 연상 작용을 전제로 하여 하나의 음악적 아이디어, 선율 라인, 또는 음악 스타일이 영화 속 캐릭터와 결합되는 예들을 실제 작품에 근거해 고찰하였다. 여기에 포함된 음악 자료는 1950년대를 전후한 미국 영화의 주요 작가들의 작품들로서, 영화의 결합력에 기여하는 음악이 주로 어떤 방식으로 특정 인물이나 집단, 상징적 의미 등을 캐릭터화 하는가를 분석하였다.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.493-496
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• 2003

An animation is synthesis art. It is very important to synchronize between background music and picture's image. In this animation, B.G.M. is not selected by picture's story to be an abstract images' animation produced with feelings of artist by B.G.M. It is necessary to study ＆ produce various experimental animation to educate in the original work & to develop the Korean animation industry at dept. of animation of University

• Bulletin of Food Technology
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• v.7 no.2
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• pp.96-102
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• 1994

일반적인 기술향상에는 원가절감, 효율화, 품질의 향상, 고부가가치화등 여러가지 측면이 있지만 술 및 식품류에 음악을 들려주는 기술은 상품의 이미지를 좋게 함으로써 부가가치를 높일수 있다. 그러나 인간과는 달리 술 및 식품에서는 음악을 듣는 방법이 다르므로 그들에게 적절히 들려주는 방법이 필요하다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.67-68
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• 2019

머신러닝을 활용한 이미지 분류는 단순 사물을 넘어서 사람의 감성과 같은 추상적이고 주관적인 개념에도 적용되고 있다. 이 중에서도 합성곱 신경망을 통한 이미지의 감정 분류 연구가 더욱 활성화되고 있다. 그럼에도 다양한 멀티미디어들을 머신러닝 알고리즘으로 분석하고 이를 의미있는 결과로 재생성하기는 매우 복잡하고 까다롭다. 본 연구에서는 기존 연구를 개선시켜 음악 데이터를 다층퍼셉트론 모델을 통해 분류된 이미지와 결합한 동영상을 파이썬의 다양한 라이브러리를 통해 자동으로 생성하였다. 이를 통해 특정 분위기로 분류된 이미지들과 이에 어울리는 음악을 매칭시켜 유의미한 새로운 멀티미디어를 자동으로 생성할 수 있었다.

• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.187-194
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• 2013

The final aim of the present study is to build a system of converting a color image into musical elements based on a synesthetic perception, emulating human synesthetic skills, which make it possible to associate a color image with a specific sound. This can be done on the basis of the similarities between physical frequency information of both light and sound. As a first step, an input true color image is converted into hue, saturation, and intensity domains based on a color model conversion theory. In the next step, musical elements including note, octave, loudness, and duration are extracted from each domain of the HSI color model. A fundamental frequency (F0) is then extracted from both hue and intensity histograms. The loudness and duration are extracted from both intensity and saturation histograms, respectively. In experiments, the proposed system on the conversion of a color image into musical elements was implemented using standard C and Microsoft Visual C++(ver. 6.0). Through the proposed system, the extracted musical elements were synthesized to finally generate a sound source in a WAV file format. The simulation results revealed that the musical elements, which were extracted from an input RGB color image, reflected in its output sound signals.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.47-50
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• 2009

본 연구는 예술심리치료 및 심상유도의 접근을 통해 영상치료로서의 시각적, 청각적 표현 범위와 치료요소를 찾는데 목적을 두고 있다. 현재 인간의 사회 활동 중에 생기는 정신적 육체적 스트레스를 예방 및 해소하기 위해 이루어지는 치료 활동 중 영상을 이용한 심리치료의 노력이 다방면으로 행해지고 있다. 치료의 형태는 주로 예술심리치료에 속하는 이미지와 기능음악, 클래식 등을 결합한 영상과 음향의 복합적 활용 방식이 주를 이루고 있다. 그러나 이는 치료적 요소에 초점을 두고 체계적인 제작이 되지 앉아 심리치료의 한계를 드러내고 있다. 따라서 본 연구에서는 먼저 기존의 병원, 테라피 공간 및 공공장소에서 일반인을 대상으로 행해지고 있는 영상심리치료의 현황을 파악하고, 행해지는 치료 형태 분류를 통해 색채.미술심리치료에서 사용되어지는 이미지 활용과 음악치료 기법 중 GIM(Guided Imagery and music: 음악과 심상유도) 활용을 중심으로 일반인을 대상으로 하여 실험연구를 진행하였다. 실험 대상물은 영상이미지와 음향의 두 가지 자극이 복합되어 혹은 단일의 자극으로 주어지는 경우를 구분하여 정서적 반응을 조사하고, 전반적인 치료영상에 대한 선호도 조사를 통해 긍정적 정서를 불러일으키는 이미지 및 음향 요소를 도출한다. 이는 향후 영상심리치료의 체계적인 가이드라인 제작과 평가 척도 개발을 위한 기초 자료로 활용할 수 있다.