• Journal of Music and Human Behavior
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• v.4 no.2
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• pp.41-65
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• 2007

This study examines children's responses on Audie music activity based on Gordon's Music Learning Method. Subjects of study were 3 five year old children(2 boys, 1 girl) in kindergarten. Data collection drew from participatory observation, researcher journal, the classroom teacher interview. Where more specific data were necessary, video and digital camera recorded. The data were described, analyzed, and interpreted. The main findings in this study are as follows : The children who participated in Audie music activity showed desirable changes in many ways. Their music listening attitude was the one that changed most remarkably. At the beginning activity application, the children were not naturally and could not listen attentively while researcher was singing song without words. Gradually children could listen attentively to the researcher's singing without words. Through the Audie music activity, the children began to think carefully the tone and rhythm of music and to express themselves freely and creatively. At the beginning activity application, the children who showed negative responses and blocked up activity became gradually able to show positive aptitude and to amuse. Also the children who showed passive attitude and no responses became gradually able to react spontaneously.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.354-359
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• 2008

This Audio-Visual Interactive Installation is composed of a video projection of a video Projection and digital Interface technology combining with the viewer's voice recognition. The Viewer can interact with the computer generated moving images growing on the screen by blowing his/her breathing or making sound. This symbiotic audio and visual installation environment allows the viewers to experience an illusionistic spacephysically as well as psychologically. The main programming technologies used to generate moving water waves which can interact with the viewer in this installation are visual C++ and DirectX SDK For making water waves, full-3D rendering technology and particle system were used.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3762-3774
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• 2000

The advances of computer hardware and information processing technologies raise the needs of multimedia information retrieval systems. Up to date. multimedia information systems have been developed for text information and image information. Nowadays. the multimedia information systems for video and audio information. especially for musical information have been grown up more and more. In recent music information retrieval systems. not only the information retrieval based on meta-information such like composer and title but also the content-based information retrieval is supported. The content-based information retrieval in music information retrieval systems utilize the similarity value between the user query and the music information stored in music database. In tbis paper. hence. we developed a similarity computation algorithm in which the pitches and lengths of each corresponding pair of notes are used as the fundamental factors for similarity computation between musical information. We also make an experiment of the proposed algorithm to validate its appropriateness. From the experimental results. the proposed similarity computation algorithm is shown to be able to correctly check whether two music files are analogous to each other or not based on melodies.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.10-18
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• 2020

Among various contents industry, this study especially focused on music industry and tried to develop a prediction model for music box office using deep learning. The deep learning prediction model designed to predict music chart-in period based on 17 variables -singer power, singer influence, featuring singer power, featuring singer influence, number of participating singers, gender of participating singers, lyric writer power, composer power, arranger power, production agency power, distributing agency power, title track, LIKEs on streaming platform, comments on streaming platform, pre-promotion article, teaser-video view, first-week performance. Additionally we conducted a linear regression analysis to sort out factors, and tried to compare the prediction performance between the original DNN prediction model and the DNN model made of sorted out factors.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.503-513
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• 2016

The purpose of this study is to explore the meaning(significance) of improving early childhood music teaching classes while analyzing microteaching in small group mentoring process. Improvement on teaching was carried out in the form of fellow teacher mentoring made up of small groups of 4 members through microteaching analysis, and the research findings are as follows. First, it was discovered that a clear understanding of musical concepts and theories must take precedence for desirable teaching of early childhood music. Second, it could be confirmed whether musical concepts are well integrated with actual early childhood music teaching activities through small group mentoring. Third, in the process of small group mentoring using microteaching analysis, sympathy was found to be highly important in the improvement on early childhood music teaching by research participants.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.65-71
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• 2009

The end of the 1990s due to the rapid development of Internet communications and two-way communication advertising, public relations, online music, video, movies, e-Book, and distribution of digital content is actively underway. The combination of Internet and TV, as well as born of IPTV and interactive digital content industry's future has become a key industry. However, these two-way communication that illegal adult sites, illegal Bulletin, illegal Ads, PR, shopping mall, illegal music copying, video replication, such as negative due to the emergence of IPTV and is always around us and should be recognized. For example, on the Internet, which has been operating in the ocean sounds from the music copyright issue, the prosecution decided to prosecute because of the digital cultural content, copyright issues has become an important issue. Status and issues of this paper to learn the digital content, using intelligence to solve these problems, two-way communication advertising, public relations and practice of digital content, practices and courses of students vulnerable to offers for the analysis simulation.

• 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.23 no.3E
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• pp.91-97
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• 2004

In this paper, we propose a classification system of TV program scenes based on audio information. The system classifies the video scene into six categories of commercials, basketball games, football games, news reports, weather forecasts and music videos. Two type of audio feature set are extracted from each audio frame-timbral features and coefficient domain features which result in 58-dimensional feature vector. In order to reduce the computational complexity of the system, 58-dimensional feature set is further optimized to yield l0-dimensional features through Sequential Forward Selection (SFS) method. This down-sized feature set is finally used to train and classify the given TV program scenes using κ -NN, Gaussian pattern matching algorithm. The classification result of 91.6% reported here shows the promising performance of the video scene classification based on the audio information. Finally, the system stability problem corresponding to different query length is investigated.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.37-41
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• 2017

In this paper, a platform was proposed that can service the streaming of location based real-time video-clip for smart-travel-services to work with PPL(Product Placement). The location information of drama like as LTE GPS and Beacon were used to provide the drama video with the PUSH service. And PPL DB with the attributes like as picture, video, music and URI(Uniform resource Identifier) was designed. As a result, this platform could provide the location based video streaming service that could replace the original PPL properties, color or shape, with the other properties by the interactive tagging the PPL DB in drama scenes. The proposed platform could provide the location based real-time video streaming service that can alter the PPL properties with the request of service provider.

• Archives of design research
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• v.17 no.2
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• pp.289-300
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• 2004

Recently, web casting on the internet has been expanding in number and size. Web Casting is different from the conventional television broadcasting since it can transmit various types of information through multimedia and it also can include interaction between users and broadcasting server. User experience by interaction becomes more important. Therefore, it is needed to win over customers by supplying satisfied experience through creative and different services, especially when there are consider competitions among music casting sites. In order to know how to make customers satisfied, we have to try to inspect what real customers in the Web Sites are acting and thinking, namely 'customer experience'. The 'customer experience' means every experience what users are expecting, doing, thinking and feeling when they stay in the Web site and online. In this thesis, the evaluation Guideline for music casting websites is developed by understanding customer experience on the music casting websites. The process of understanding customer experience was implemented through user observation methods, such as web Diary, group interview, and questionnaire. As a result of the study, 67 evaluation Guidelines with weight rate in 6 categories which are searching music, listening music, music video, music broadcasting, music mailing and other contents are developed. It can be used to analyze strengths and weakness of music casting sites and to establish business strategy for the more satisfied customer experience.