• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.495-508
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• 2004

Recently, in content-based music information retrieval systems, to enhance the response time of retrieving music data from large music database, some researches have adopted the indexing mechanism that extracts and indexes the representative melodies. The representative melody of music data must stand for the music itself and have strong possibility to use as users' input queries. However, since the previous researches have not considered the musical composition forms, they are not able to correctly catch the contrast, repetition and variation of motif in musical forms. In this paper, we use an index automatically constructed from representative melodies such like first melody, climax melodies and similarly repeated theme melodies. At first, we expand the clustering algorithm in order to extract similarly repeated theme melodies based on the musical composition forms. If the first melody and climax melodies are not included into the representative melodies of music by the clustering algorithm, we add them into representative melodies. We implemented a prototype system and did experiments on comparison the representative melody index with other melody indexes. Since, we are able to construct the representative melody index with the lower storage by 34％ than whole melody index, the response time can be decreased. Also, since we include first melody and climax melody which have the strong possibility to use as users' input query into representative melodies, we are able to get the more correct results against the various users' input queries than theme melody index with the cost of storage overhead of 20％.

• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.547-558
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• 2003

From the viewpoint of that music melody has the similar features to time-series data, music melody is transformed to a time-series data with normalization and corrections and the similarity between melodies is defined as the Euclidean distance between the transformed time-series data. Then, based the similarity between melodies of a music object, melodies are clustered and the representative of each cluster is extracted as one of theme melodies for the music. To construct the theme melody index, a theme melody is represented as a point of the multidimensional metric space of M-tree. For retrieval of user's query melody, the query melody is also transformed into a time-series data by the same way of indexing phase. To retrieve the similar melodies to the query melody given by user from the theme melody index the range query search algorithm is used. By the implementation of the prototype system using the proposed theme melody index we show the effectiveness of the proposed methods.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.21-22
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• 2019

본 연구는 K-Pop에서 보컬과 악기의 선율이 모드(Mode)를 중심으로 어떻게 사용되었는지 분석하고 활용기법에 대해 제시한다. 음악의 분류는 크게 화성을 중심으로 만들어진 조성음악(Tonal Music)과 모드를 중심으로 만들어진 선법음악(Modal Music)으로 나뉜다. 현재 K-Pop에서 화성을 바탕으로 하여 선율을 표현하는 수단을 목소리와 악기로 분류했을 때 두 개의 사용비율은 비슷하다. 선율의 표현영역이 넓어지면서 블랙핑크 타이틀곡에 모드와 음계를 활용한 특징이 나타났다. 첫 번째, 노래의 기능적 형식에 따라 사용한 모드가 구분된다. 두 번째, 목소리를 통해 표현하는 선율보다 악기의 선율이 리듬적으로 부각되었다. 마지막으로 화음을 적게 사용하고, 화음의 성질을 결정짓는 3음을 생략하는 방식이 화음과 선율에 나타난다.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.704-707
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• 2011

본 논문에서는 요람기부터 해방을 전후한 시기의 대중가요의 선율 유형을 연구하고자 하였다. 총 109 편의 가요를 분석하는 방법으로서 작품의 첫 제시에 사용된 선율 유형들을 분류하였으며 그 결과 일련의 '선율 그룹(tune family)'이 도출되었다. 이렇듯 유사한 선율들을 범주화하는 작업을 통해 초기 대중가요의 음악적 성격을 이론화하는 것이 본 논문의 목적이다.

• Journal of KIISE:Databases
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• v.30 no.5
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• pp.507-520
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• 2003

In this paper, an automatic construction method of theme melody index for large music database and an associative content-based music retrieval mechanism in which the constructed theme melody index is mainly used to improve the users' response time are proposed. First, the system automatically extracted the theme melody from a music file by the graphical clustering algorithm based on the similarities between motifs of the music. To place an extracted theme melody into the metric space of M-tree, we chose the average length variation and the average pitch variation of the theme melody as the major features. Moreover, we added the pitch signature and length signature which summarize the pitch variation pattern and the length variation pattern of a theme melody, respectively, to increase the precision of retrieval results. We also proposed the associative content-based music retrieval mechanism in which the k-nearest neighborhood searching and the range searching algorithms of M-tree are used to select the similar melodies to user's query melody from the theme melody index. To improve the users' satisfaction, the proposed retrieval mechanism includes ranking and user's relevance feedback functions. Also, we implemented the proposed mechanisms as the essential components of content-based music retrieval systems to verify the usefulness.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1403-1406
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• 2003

XML이 가지는 다양한 장점을 이용하기 위해, 음악을 XML로 표현하려는 다양한 연구가 계속되고 있다. 그러나, SMDL, MNML, MusicXML과 같은 기존의 연구는 악보상의 정보를 그대로 표현하거나, 전자 음악의 표준인 MIDI 포맷과의 상호교환성을 중심으로 연구되어 왔기 때문에 음악에 대해 구조-내용 기반 복합 검색을 하기에는 부적합하다. 이를 해결하기 위해 본 논문에서는 음악의 대표 선율을 이용한 구조-내용 기반 복합 검색을 위한 XML 스키마를 제안한다. 먼저, 본 논문에서는 사용자가 질의할 가능성이 높은 첫 동기, 절정, 일정 유사도 내에서 반복되는 주제 선율을 해당 음악을 대표하는 선율로서 XML 스키마에 표현하였다. 제안한 XML 스키마에 대해 XML 질의 언어를 이용하여 구조-내용 기반 복합 검색시 전체 선율을 검색하지 않고 대표 선율만을 검색하여 사용자의 응답 시간을 빠르게 할 수 있다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.55-56
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• 2017

애니메이션은 여러 세대와 인종을 아우르는 문화예술로서, 애니메이션의 중요한 구성요소 중 하나로 음악이 인식되고 연구되어야 한다. 애니메이션 산업으로 큰 성공을 거둔 디즈니사의 <알라딘>을 연구작품으로 선택하였으며 스토리진행과 상황에 따른 캐릭터의 주제선율의 변화의 상관관계를 연구한다. 주인공 '알라딘'의 주제선율은 총 49개의 곡 중 22개의 곡에서 나타나며 리듬, 템포, 조성, 선율, 화성, 악기구성 등으로 변주를 하여 캐릭터가 처한 상황이나 심리상태를 대변하고 대응한다.

• Journal of KIISE:Software and Applications
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• v.34 no.12
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• pp.1037-1044
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• 2007

Recently, we extract the representative melody of the music and index the music to reduce searching time at the content-based music retrieval system. The existing study has used MIDI data to extract a representative melody but it has a weak point that can use only MIDI data. Therefore, this paper proposes a representative melody retrieval method that can be use at all audio file format and uses digital signal processing. First, we use Fast Fourier Transform (FFT) and find the tempo and node for the representative melody retrieval. And we measure the frequency of high value that appears from PCM Data of each node. The point which the high value is gathering most is the starting point of a representative melody and an eight node from the starting point is a representative melody section of the audio data. To verity the performance of the method, we chose a thousand of the song and did the experiment to extract a representative melody from the song. In result, the accuracy of the extractive representative melody was 79.5% among the 737 songs which was found tempo.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.60-61
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• 2013

One of the most important indicators for measuring service level and productivity of the port may be a demurrage rate. Currently, in the case of grain terminal of Busan North Port, demurrage rate are recognized at a very high level, in order to improve this, it is tilted more effort operational. In order to reduce the demurrage, there is a way expansion of facility of hardware, such as the replacement of aging equipment, and how manipulative assignment rules of the apparatus of the operation on the software side, such as changing the order of facility allocation. If the financial reasons are out of question, it is possible to expand to reduce the demurrage rate by operational way. Therefore this paper deals with how to operate some of the allocation rules and silo allocation rules of equipment to reduce the work hours with model and how to operate basic equipment and grain terminal of Busan North Port want to be seen by comparative analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.683-686
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• 2005

주어진 악곡의 성격을 파악하거나 악곡속의 주요정보를 추출하기 위해서는 해당 악곡의 양식파악이 선행되어야 한다. 이에 본 논문에서는 선율간 유사도 분석을 통하여 악곡의 양식을 판별하는 방안을 모색하였다. 선율간의 유사도를 분석하기 위한 방법으로 Hofmann-Engl 의 Conceptual Framework을 사용하였다.