• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.400-405
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• 2006

In this paper, we present effective methods for music summarization which summarize music automatically. It could be used for sample music of on-line digital music provider or some music retrieval technology. When summarizing music, we use different two methods according to music length. First method is for finding sabi or chorus part of music which can be regarded as the most important part of music and the second method is for extracting several parts which are in different structure or have different mood in the music. Our proposed music summarization system is better than conventional system when structure of target music is explicit. The proposed method could generate just one important segment of music or several segments which have different mood in the music. Thus, this scheme will be effective for summarizing music in several applications such as online music streaming service and sample music for Tcommerce.

• Korean Institute of Interior Design Journal
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• no.33
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• pp.11-18
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• 2002

There is an agreement that sociocultural forces affect on the types of arts. There have been a little attempts to draw analogy between architecture and music. There are many objective and subjective factors for this to be true. If, however, the two arts are out of much the same social conditions, they show a degree of conformity in design and general organization. Our study shows the interrelationship between the Residential Space and structure of music. In order to clarify the interrelationship between architecture and music, the study examines ten Residential Spaces suggested by Yi-Jinkyung. The Residential Spaces are analyzed by using theory of Space Syntax. The structure of music is analyzed by tonality, counterpoint and harmony. The comparison between the Residential Spaces and music follows : From Renaissance to the 19th century, they have the same tendency to 1) openness & closure to the outer space and 2) the netting diagram in the inner space & Counterpoint 3) the tree diagram in the space & Harmony

• Journal of Korean Library and Information Science Society
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• v.32 no.4
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• pp.147-170
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• 2001

This study intends to 1)conform the possibility to transform the enumerated scheme into the faceted scheme, 2)review general theories on facet structure employed in DDC 780, and 3) analyze the facet structure of music. Findings are 1) The facet structure of DDC synthesize the standard subdivisions or specific facet indicators with basic facet. 2) facet indicator 0 is in use to indicate standard subdivision or general principle of music. and facet indicator 1 to general principles and musical forms. DDC has transformed the entire system into the facet structure through its revisions. Especially the music transformed into the facet structure employes the facet indicators and applies them to all the systems in music. But the notation have sometimes twofold meanings, and no ability to differentiate the meanings in the same notation.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.33-42
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• 2007

This paper presents a new methodology for music structure analysis which facilitates rhetoric-based music summarization. Similarity analysis of musical constituents suggests the structure of a musical piece. We can recognize its musical form from the structure. Musical forms have rhetorical characteristics of their on. We have utilized the characteristics for locating musical motifs. Motif extraction is to music summarization what topic sentence extraction is to text summarization. We have evaluated the effectiveness of this methodology through a popular music case study.

• Proceedings of the KSPS conference
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• 2006.05a
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• pp.143-146
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• 2006

Music is now digitally produced and distributed via internet and we face a huge amount of music day by day. A music summarization technology has been studied in order to help people concentrate on the most impressive section of the song andone can skim a song as listening the climax(chorus, refrain) only. Recent studies try to find the climax section using various methods such as finding diagonal line segment or kernel based segmentation. All these methods fail to capture the inherent structure of music due to polyphonic and noisy nature of music. In this paper, after applying moving average filter to time domain of MFCC/chroma feature, we achieved a remarkable result to capture the music structure.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.9
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• pp.1134-1140
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• 1988

In this paper, the theory of superresolution algorithms for estimation of directions of arrival of signals using eigen-structure analysis (mainly MUSIC algorithm)is described. Also, we apply MUSIC algorithm to circularly disposed antenna system, and simulate the angular resolution according to relative azimuth difference, S/N ratio, number of snapshots, so that we confirm the possibility of applications of MUSIC algorithm to sky wave in real situations.

• 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.

• Cartoon and Animation Studies
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• s.27
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• pp.127-151
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• 2012

Created by Tomoko Ninomiya, was serialized in Japan from July 2001 to November 2009 and collected in 23 volumes. It has become a cultural syndrome after it was transferred to other media. Giving an attention to this cultural syndrome, this study aims to analyze narrative structure by means of semiotics. This study tries to use 'modele actantiel' and 'carre semiotique' of Greimas in order to clarify not only the meaning structure but also the course of narrative revealed in . The meaning structure of shows a unique relationship of genius and training. Although Nodame, a main character of this Japanese manga, is a straggler in music school because she does not show any passion for learning, she is depicted as a music genius. An education method called as apprenticeship is represented as the mechanism to bring out misfits in music. Dealing with her long journey to be a professional musician, this manga suggests how Nodame can be developed from as a misfit to as a professional pianist through introducing diverse education methods. Revealing critical perspective on music education in real world, gives a chance to rethink the relationship between genius and education in music.

• International Journal of Contents
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• v.10 no.4
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• pp.63-68
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• 2014

In this paper, we propose a smart system that can optically recognize a music score within a document and can play the music after recognition. Many historic handwritten documents have now been digitalized. Converting images of a music score within documents into digital files is particularly difficult and requires considerable resources because a music score consists of a 2D structure with both staff lines and symbols. The proposed system takes an input image using a mobile device equipped with a camera module, and the image is optimized via preprocessing. Binarization, music sheet correction, staff line recognition, vertical line detection, note recognition, and symbol recognition processing are then applied, and a music file is generated in an XML format. The Music XML file is recorded as digital information, and based on that file, we can modify the result, logically correct errors, and finally generate a MIDI file. Our system reduces misrecognition, and a wider range of music score can be recognized because we have implemented distortion correction and vertical line detection. We show that the proposed method is practical, and that is has potential for wide application through an experiment with a variety of music scores.

• KIISE Transactions on Computing Practices
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• v.22 no.10
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• pp.479-487
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• 2016

People can listen to almost every type of music by music streaming services without possessing music. Ironically it is difficult to choose what to listen to. A music recommendation system helps people in making a choice. However, existing recommendation systems have high computation complexity and do not consider context information. Emotion is one of the most important context information of music. Lyrics can be easily computed with various language processing techniques and can even be used to extract emotion of music from itself. We suggest a music-level similarity evaluation method using emotion and structure. Our result shows that it is important to consider semantic information when we evaluate similarity of music.