• 정보관리연구
• /
• 제38권2호
• /
• pp.59-83
• /
• 2007

본 연구는 음악자료를 체계적으로 관리하고, 이용자들이 원하는 자료와 관련 저작들을 효율적으로 검색, 활용할 수 있는 서지 시스템 구축을 목표로 음악자료의 FRBR기반 시스템의 메타데이터 모델을 작성하고 메타데이터 요소를 개발 제시하였다.

• International Journal of Contents
• /
• 제10권4호
• /
• pp.63-68
• /
• 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.

• 한국의류산업학회지
• /
• 제16권3호
• /
• pp.354-365
• /
• 2014

This study investigates the positioning of emotional language imagesin popular music genres for developing textile print design ideas. Auditory and synaesthetic imagery were employed to deduct emotional language imageries from popular music genres and analyze differences in emotional language imageries according to popular music genres. Six genres of popular music were selected as stimulus and a survey was conducted to analyze emotional language imagery differences and similarities depending on popular music genres. The results of this study were: The results of the factor analysis and the reliability test on emotional language imagery showed factorial structures that include Lyrical-Feminine, Intense-Masculine, Euphoric-Active, Gloomy-Melancholy, Abstruse-Sophisticated, and Addictive-Continuous. The results of the mean scores of emotional language imagery of each popular music genre showed that respondents tended to perceive that ballad and new age music are similar and hip-hop & rap, dance, and metal-rock are similar. Based on the multidimensional scaling analysis, new age positioned Lyrical-Feminine, metal-rock positioned Intense-Masculine, dance music positioned Euphoric-Active, and ballad positioned Gloomy-Melancholy. This study provides elementary resources to inspire innovative textile prints designed through different characteristics of emotional language imagery according to each popular music genre.

• Journal of Information Processing Systems
• /
• 제11권3호
• /
• pp.438-449
• /
• 2015

Recognition systems for scanned or printed music scores that have been implemented on personal computers have received attention from numerous scientists and have achieved significant results over many years. A modern trend with music scores being captured and played directly on mobile devices has become more interesting to researchers. The limitation of resources and the effects of illumination, distortion, and inclination on input images are still challenges to these recognition systems. In this paper, we introduce a novel approach for recognizing music scores captured by mobile cameras. To reduce the complexity, as well as the computational time of the system, we grouped all of the symbols extracted from music scores into ten main classes. We then applied each major class to SVM to classify the musical symbols separately. The experimental results showed that our proposed method could be applied to real time applications and that its performance is competitive with other methods.

• 인간행동과 음악연구
• /
• 제17권2호
• /
• pp.101-117
• /
• 2020

본 연구는 그룹 음악과 심상(Music and Imagery: MI) 경험을 심층 탐구하는 것을 목적으로 하며, 질적 사례연구방법을 이용하였다. 이를 위해 치료사가 배제된 동료 그룹 MI경험이 있는 전문 음악치료사 4명을 대상으로 포커스 그룹 면담을 실시하여 자료를 수집하고 질적 사례 자료분석 절차에 따라 분석하였다. 연구 결과, 참여자들은 그룹에서 음악을 공유하거나 선곡해보고, 지지감을 경험하는 초기의 성공적 그룹경험을 통해 그룹과 음악에 대한 신뢰감을 형성할 수 있었다. 이러한 신뢰감은 참여자들에게 새로운 통찰을 제공하는 확장된 음악, 정서, 심상, 관계적 경험으로 이어지는 기반이 된 것으로 나타났다. 또한, 참여자들에게 그룹의 지지적 특성이 MI경험에서 새로운 경험과 시도를 도전하도록 지지하는 역할을 한 것으로 인식되었다. 이 같은 연구결과는 MI경험에서 그룹이 더욱 확장된 정서와 통찰경험을 촉진하는 치료적 요인으로 작용할 수 있음을 시사하며, 나아가 음악심리치료 중재의 그룹 적용을 위한 적용점을 제시할 수 있을 것이다.

• 한국콘텐츠학회논문지
• /
• 제14권11호
• /
• pp.602-610
• /
• 2014

통영국제음악제는 세계적인 작곡가 윤이상을 기리는 추모음악회로 시작하여, 짧은 역사에도 불구하고 빠른 성장을 하며 국제적인 음악축제로 발돋움하고 있다. 본고에서는 윤이상의 음악세계로 살펴본 통영국제음악제의 발전방향에 대하여 고찰하였다. 한국 근대사의 비극을 겪고, 고국에서 추방된 윤이상이었지만, 그의 작품 속에는 한국, 특히 통영의 문화적 유산을 부단히 창조적 에너지로 삼고 있음을 알 수 있다. 또한 그의 음악은 동양과 서양, 과거와 현재, 남과 북, 거장과 신예를 아우르는 화합의 세계를 추구하며 다양한 모습으로 음악제에 투영되어 있다. 통영국제음악제가 국제적인 반열에 올라서기 위해서는, 윤이상의 음악창조의 진원지로써 통영의 유형, 무형의 문화적 자원 속에서 그 가치를 찾아내어 음악제와 연결하려는 노력을 해야 할 것이다. 이러한 문화역량의 기반아래 서구 음악제와 차별되는 독창적인 음악축제의 모습을 갖춘다면, 통영국제음악제는 세계적인 음악도시의 성공적인 음악 축제로 약진할 수 있을 것이라고 기대한다.

• Journal of the Korean Data and Information Science Society
• /
• 제18권1호
• /
• pp.107-121
• /
• 2007

An efficient encoding algorithm (or encryption algorithm) is essential for mobile devices since their resources such as computation power and battery capacity are very limited. This study is to propose an efficient encoding scheme for protecting mobile music. In the proposed scheme, server distributes each music file in a shuffled form or an encrypted one, then only authorized consumers can play the music after un-shuffling or decrypting it. We show the effectiveness of our proposed scheme by implementing and evaluating the prototype system on WIPI emulator. Experimental results show that our scheme can achieve much better performance than the standard encryption algorithm of OMA DRM.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2020년도 하계학술대회
• /
• pp.714-716
• /
• 2020

We propose a unique client-driven music genre classification solution, that can identify the music genre using a deep convolutional neural network operating on the time-domain signal. The proposed method uses the client device (Jetson TX2) computational resources to identify the music genre. We use the industry famous GTZAN genre collection dataset to get reliable benchmarking performance. HTTP live streaming (HLS) client and server sides are designed locally to validate the effectiveness of the proposed method. HTTP persistent broadcast connection is adapted to reduce corresponding responses and network bandwidth. The proposed model can identify the genre of music files with 97% accuracy. Due to simplicity and it can support a wide range of client hardware.

• International Journal of Contents
• /
• 제10권4호
• /
• pp.11-17
• /
• 2014

The influence of acquisition environment on music score images captured by a camera has not yet been seriously examined. All existing Optical Music Recognition (OMR) systems attempt to recognize music score images captured by a scanner under ideal conditions. Therefore, when such systems process images under the influence of distortion, different viewpoints or suboptimal illumination effects, the performance, in terms of recognition accuracy and processing time, is unacceptable for deployment in practice. In this paper, a novel, lightweight but effective approach for dealing with the issues caused by camera based music scores is proposed. Based on the staff line information, musical rules, run length code, and projection, all regions of interest are determined. Templates created from inverse filter are then used to recognize the music symbols. Therefore, all fragmentation and deformation problems, as well as missed recognition, can be overcome using the developed method. The system was evaluated on a dataset consisting of real images captured by a smartphone. The achieved recognition rate and processing time were relatively competitive with state of the art works. In addition, the system was designed to be lightweight compared with the other approaches, which mostly adopted machine learning algorithms, to allow further deployment on portable devices with limited computing resources.

• 한국IT서비스학회지
• /
• 제13권1호
• /
• pp.161-179
• /
• 2014

Added value of music industry in Korea is not distributed and calculated properly, and this obstacle brings various problems in a creative environment. Meanwhile, a new business model such as Open Collaboration, Crowdsourcing and platform that makes decisions and innovation from external resources has been appeared in commercial area. This new model like a composer delivers to consumers directly through Youtube.com, and multi collaboration is applied to the music industry, and it enables a new type of mechanism for creation, distribution, division, and calculation of music. However there are not enough empirical study of the music market because existing relative researches has been centered around fundamental concepts and application methodologies. This research defines Open Collaboration Platform in the music industry, and studies affecting factors of Participation Intention for example Justice, Information System Quality and Perceived Value. For a survey we apply PLS(Partial Least Square) to analyse Equity, Information System Quality and structural equation between Perceived Value and Participation Intention. Analysis results show Distributive Justice and Procedural Justice affects Platform Trust, and Service Quality, Economical Value and Emotional Value affects Platform Usefulness. Also Platform Trust and Platform Usefulness affects Platform Participation Intention. We discussed academic and practical implication based on research results.