• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.170-180
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• 2013

This study compares and reviews PPL in domestic and foreign music videos with reference to possibility of connecting K-POP music videos and PPL in industrial perspective and establishes a successful PPL strategy for K-POP. For this, their success factors are drawn through content analysis method for PPL examples in K-POP and foreign(British-American) music videos. The study analyzes PPL strategies in K-POP and foreign music videos by content analysis of PPL exposure frequency and time, PPL placement type, PPL products group type, advertisers, etc. According to the study, PPL product lines as well as fashions need to be diversified in K-POP music videos. The study also shows that it needs to apply the PPL strategy used in foreign music videos which are focused on exposure time rather than exposure frequency. In addition, it turned out to be important to establish more bold PPL placement exposure strategy in K-POP music videos. Therefore, the study is to offer theoretical and political implications required for successful PPL strategy in K-POP in the future.

• The Journal of the Acoustical Society of Korea
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• v.35 no.2
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• pp.83-91
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• 2016

Music-similarity computation is crucial in developing music information retrieval systems for browsing and classification. This paper overviews the recently-proposed centroid-model based music retrieval method and applies the distributional similarity measures to the model for retrieval-performance evaluation. Probabilistic distance measures (also called divergence) compute the distance between two probability distributions in a certain sense. In this paper, we consider the alpha divergence in computing distance between two centroid models for music retrieval. The alpha divergence includes the widely-used Kullback-Leibler divergence and Bhattacharyya distance depending on the values of alpha. Experiments were conducted on both genre and singer datasets. We compare the music-retrieval performance of the distributional similarity with that of the vector distances. The experimental results show that the alpha divergence improves the performance of the centroid-model based music retrieval.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.11
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• pp.1077-1083
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• 2012

The jamming countermeasures in GNSS includes anti-jamming technique and jammer localization technique. In both techniques, direction of jamming signal is important and generally the MUSIC algorithm is used to find the direction of jamming signal. The MUSIC is super-resolution algorithm for detecting incident direction of signal. But, the search time of MUSIC algorithm is too long because all candidates of incidence angle are searched. This paper proposes the new method that has less computational burdens and therefore faster than the conventional MUSIC algorithm. The proposed method improves performance speed by reducing unnecessary calculations. In the proposed method, the cost function of conventional MUSIC algorithm is decomposed into the sum of squares and if the partial sum of cost function is larger than the minimum cost function so far, then the candidate is rejected and next candidates are searched. If the computed cost function is less than the minimum cost function so far, the minimum cost function so far is replaced with newly computed value. The performance of the proposed method was compared with the conventional MUSIC algorithm using the simulation. The accuracy of the estimaed direction of jamming signal was same as the conventional MUSIC while the search speed of the proposed method was 1.15 times faster than the conventional MUSIC.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.1 s.307
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• pp.85-90
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• 2006

In this paper, we propose the content-based music information retrieval system with improved retrieval speed and stable performance while maintaining resonable retrieval accuracy In order to solve the in-stable system problem multi-feature clustering (MFC) is used to setup robust music DB. In addition, the music retrieval speed was improved by using the Superclass concept. Effectiveness of the system with SuperClass and without SuperClass is compared in terms of retrieval speed, accuracy and retrieval precision. It is demonstrated that the use of WC and Superclass substantially improves music retrieval speed up to $20\%\~40\%$ while maintaining almost equal retrieval accuracy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12C
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• pp.1156-1163
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• 2007

A digital formatted music can be summarized with a fixed length using spectrum signal processing in this paper. We experimentally tested the hypothesis that the power spectrum of a popular music has $\frac{1}{\Large f}$ shape. Based on this hypothesis, a music is summarized by a system proposed in the paper. The system consists of a pre-processing block obtaining a test spectrum and a decision block calculating similarities. It is noteworthy that a digital formatted music can be summarized automatically using a similar system based on various hypotheses.

• Journal of Digital Contents Society
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• v.7 no.1
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• pp.1-8
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• 2006

The development of mass media along with technology development is accelerating the development of diverse contents. Among others, the role of music contents is now extended to be applicable to the overall cultural contents thus, the market is growing at a rapid speed. As the music market transforms from the record market to the digital music source market, the creation, distribution, and marketing techniques of digital sound contents become different. Likewise, the music industry has been dynamically changed and came to even demand a paradigm shift in the music industry. This study is meaningful in that it aimed to contemplate additional on-going issues for developing the music industry, such as national policy and support, amendment of related laws, and public awareness, and to suggest an aim to head for.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.279-282
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• 2004

국악 샘플링 신디사이저 VST 플러그인 프로그램 보호방법은 국내 최초로 한양대학교 뉴미디어 뮤직 전공에서 개발된 국악기 샘플링 신디사이저의 배포를 위하여 개발되었다. 소프트웨어가 설치된 컴퓨터의 고유인식 번호를 배포자의 서버로 전송, 암호화된 인증키를 최종 사용자에게 다시 부여하는 방식으로, 문화 컨텐츠 진흥원의 지정과제인 "국악연주 가상환경용 입체음향효과 및 국악기 음 합성기술개발"의 사업화에 큰 도움이 되기를 바란다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.523-527
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• 2010

본 논문에서는 Jazz는 물론 여러 음악 장르에서 사용되는 Diminished Scale을 Major7, Minor7, Dominant7 Chord에서의 활용 방법을 Jazz의 Improvisation의 관점에서 연구한다. 또한 Upper Structure와의 연계뿐 아니라 Out Line 적인 요소까지 각 코드 기능별 Diminished Scale의 활용을 연구한다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.97-104
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• 2007

This paper presents the problem of the feature extraction techniques that has been used a content-based analysis, classification and retrieval in audio data and proposes a course of the preprocessing for a new contents-based retrieval methods. Because the feature vector according to sampling value changes, the existing audio data analysis is problem that same music is appraised by other music. Therefore, we propose waveform information extraction method of PCM data for retrieval audio data of various format to contents-based. If this method is used. we can find that audio datas that get into sampling in various format are same data. And it may be applied in contents-based music retrieval system. To verity the performance of the method, an experiment was done feature extraction using STFT and waveform information extraction using PCM data. As a result, we could know that the method to propose is effective more.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.85-93
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• 2008

For music score recognition, several approaches have been proposed including shape matching, statistical methods, neural network based methods and structural methods. In this paper, we deal with recognition for low resolution images which are captured by the digital camera of a mobile phone. Considerable distortions are included in these low resolution images, so when existing technology is used, many problems appear. First, captured images are not stable in the sense that they contain lots of distortions or non-uniform illumination changes. Therefore, notes or symbols in the music score are damaged and recognition process gets difficult. This paper presents recognition technology to overcome these problems. First, musical note to head, stick, tail part are separated. Then template matching on head part of musical note, and remainder part is applied. Experimental results show nearly 100% recognition rate for music scores with single musical notes.