• Journal of the Korean Society for information Management
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• v.19 no.3
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• pp.5-30
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• 2002

In this paper, classification feature is selected with focus of musical content, note sequences pattern, and measures similarity between note sequences followed by constructing clusters by similar note sequences, which is easier for users to search by showing the similar note sequences with the search result in the CBMR system. Experimental document was $\ulcorner$A Dictionary of Musical Themes$\lrcorner$, the index of theme bar focused on classical music and obtained kern-type file. Humdrum Toolkit version 1.0 was used as note sequences treat tool. The hierarchical clustering method is by stages focused on four-type similarity matrices by whether the note sequences segmentation or not and where the starting point is. For the measurement of the result, WACS standard is used in the case of being manual classification and in the case of the note sequences starling from any point in the note sequences, there is used common feature pattern distribution in the cluster obtained from the clustering result. According to the result, clustering with segmented feature unconnected with the starting point Is higher with distinct difference compared with clustering with non-segmented feature.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.766-770
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• 2009

Recently, users of multimedia files demand a high capacity file via internet. However, it is difficult to guarantee QoS for high capacity files on internet because of its inconstant bandwidth. For guaranteeing the QoS, CDN (Content Delivery Network) is generally used for contents delivery service. Based on CDN, we propose Content Distribution and Management using Metadata (CDM) system which provides advanced transmission method and searching method. To enhance the transmission rate, CDM system supports segment-unit-based transmission method that enables parallel transmission. Also, we propose a distribution method through content based search.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.323-332
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• 2000

인터넷을 등장으로, 끊임없이 늘어나는 정보의 양은 오히려 사용자의 정보 습득을 어렵게 만들었다. 이를 해결하기 위한 방법으로 검색된 정보에 우선 순위를 부여함으로써 사용자가 원하는 정보를 선별할 수 있는 방법이 등장하였다. 하지만, 이는 사용자의 일시적인 질의만을 가지고 정보의 우선 순위를 결정하기 때문에 사용자가 다시 판단해야 하는 부담을 안게 되었다. 이러한 문제점을 해결하기 위해, 본 논문에서는 내용 기반의 정보 검색(Content-Based Information Retrieval) 방법과 더불어 사용자의 기호를 반영하는 사용자 선호도 기반의 정보 여과(Information Filtering) 방법, 그룹 선호도 기반의 협동적 정보 여과(Collaborative Filtering) 방법을 사용하여 사용자의 요구에 선결조건으로 하며, 구축된 선호도는 벡터로써 표현되어 정보와의 유사도(degree of similarity) 계산에 사용된다. 제안된 방법을 실험하기 위해 MFC(Microsoft Foundation Class) 관련 학습 사이트를 구현하여 사용자 등록을 받았다. 이 과정에서 사용자에게 여러 가지 프로파일을 요구하였으며, 변화하는 사용자의 기호를 반영하기 위해 지속적으로 사용자의 행동을 관찰하였다. 이렇게 구축된 사용자 선호도를 바탕으로 제안된 방법을 실험하고 사용자의 feedback을 통해 결과에 대한 평가를 받아, 논문에서 제안된 방법의 타당성을 입증하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 1996.08a
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• pp.57-60
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• 1996

전문데이터베이스는 원문의 접근가능성과 전문탐색의 장점으로 인해 최근 급속하게 발전하고 있다. 그러나 이제까지 대부분의 전문데이터베이스는 문헌의 구조를 고려하지 않고 본문의 문자열에서 자동추출한 색인어를 대상으로 비통제탐색방법을 사용하여 왔으므로 효율적이고 다양한 검색방법을 적용하기 어려웠다. 본 연구에서는 SGML을 이용하여 문헌을 구조화하고 이를 이용한 색인시스템을 설계함으로써, 문헌구조를 이용한 다양한 검색이 가능하도록 하였다. 이를 위해 논문을 대상으로 하여 문헌의 구조를 분석하고, 주요 문헌요소인 초록, 목차, 본문, 참고문헌의 특성을 색인에 반영하였다. 색인시스템은 문헌요소를 태그와 텍스트데이터로 분석하여 색인하는 일차색인과, 일차색인에 의해 만들어진 문헌요소테이블과 내용데이터파일을 이용하여 주요 문헌요소를 색인한 이차색인으로 구성된다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.277-279
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• 2000

인터넷 쇼핑몰의 급증으로 각 쇼핑몰은 경쟁적으로 표적판매의 전략으로써 상품 광고나 쇼핑 정보 등을 회원들에게 e-mail로 제공해 주고 있지만 여러 쇼핑몰에 회원으로 가입되어 있는 인터넷 사용자들에게 이런 무분별하고 획일적인 광고는 오히려 번거로운 것일 수 있으며 더욱이 그 내용이 관심 밖의 것일 경우 무가치한 정보 공해에 지나지 않게 된다. 본 논문에서는 등록된 사용자의 프로파일 정보와 학습된 쇼핑패턴을 토대로 그 사용자의 관심도와 쇼핑이 필요한 시기를 예측하여 e-mail로 개인화된 광고 및 추천서비스를 제공하는 비교 쇼핑 시스템을 제안한다. 이를 위해 상품별 구매속성이 반영된 코드를 상품의 ID로 정하여 구매속성별 분류와 검색 및 갱신이 쉽고 정확하게 이루어지도록 하였고 별도의 학습 과정 없이 코드의 검색만으로 선별된 상품을 자동으로 광고와 추천하는 것이 가능하다.

• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.187-208
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• 2004

In this study, aesthetic impressions were used for a high-level feature of image retrieval. The term, 'aesthetic' has been studied in psychology, art, and literature. It means unconscious, instantaneous parts of visual perception and emotion. The literatures related to aesthetic impressions were reviewed and four kinds of aesthetic impressions were defined operationally : strong impression, soft impression, courteous impression, and refined impression. 66 image files of paintings were sampled randomly from 1100 paintings and low-level color features were extracted from them by a using perceptual color model(Lai, & Tait, 1998). The high-level features of an image, that is, four kinds of aesthetic impressions of each painting were measured by 4 subjects and averaged. In CBIR, 2 subjects performed image retrievals using example queries. They were asked to retrieve images by using the aesthetic impressions or the keywords. In evaluations, subjects showed that they were satisfied with the aesthetic impression-based image retrieval system on the average. And R-precision of the image retrieval with both color features and aesthetic impressions was higher than that of the image retrieval with color features only. But further studies with larger test collections and query sets should be followed for generalization of the result of this study.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.9
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• pp.574-584
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• 2006

Recently, ISO/IEC 23000 (also known as 'MPEG-A') has proposed a new file format called 'MAF(Multimedia Application File Format)[1]' which provides a capability of integrating/storing the widely-used compression standards for audio and video and the metadata in MPEG-7 form into a single file format. However, it is still very hard to verify the usefulness of MPEG-A in the real applications because there is still no real system that fully implements this standard. In this thesis, a design and implementation of a multimedia retrieval system based on MPEG-A standard on PC and mobile device is presented. Furthermore, an extension of MPEG-A for describing the metadata for video is also proposed. It is selected and defined as a subset of MPEG-7 MDS[4] and TV-anytime[5] for video that is useful and manageable in the mobile environments. In order to design the multimedia retrieval system based on MPEG-A, we define the system requirements in terms of portability, extensibility, compatibility, adaptability, efficiency. Based on these requirements, we design the system which composed of 3 layers: Application Layer, Middleware Layer, Platform Layer. The proposed system consists of two sub-parts, client-part and server-part. The client-part consists of MAF authoring tool, MAP player tool and MAF searching tool which allow users to create, play and search the MAF files, respectively. The server-part is composed of modules to store and manage the MAF files and metadata extracted from MAF files. We show the usefulness of the proposed system by implementing the client system both on MS-Windows platform on desk-top computer and WIPI platform on mobile phone, and validate whether it to satisfy all the system requirements. The proposed system can be used to verify the specification in the MPEG-A, and to proves the usefulness of MPEG-A in the real application.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2001.11b
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• pp.193-198
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• 2001

최근 대용량 디지털 비디오의 효율적인 이용 및 관리를 위한 데이터 베이스 구축이 절실히 요구되고 있다. 이를 위해서 , 디지털 비디오의 내용 기반 요약이 필요하며, 선행 기술로서 비디오의 샷 경계 검출이 이루어져야 한다. 기존의 샷 경계 검출 방법들은 압축 파일로 저장된 비디오 데이터에 대해 샷 경계 검출을 수행한다. 이러한 기존 방법과 달리, 본 논문에서는 디지털 비디오 카메라로부터 비디오 데이터를 얻어 저장하면서, 실시간으로 샷 경계 검출을 수행하고자 한다. 그리고, 실시간 샷 경계 검출에 있어서 본 논문은 MPEG-7의 Homogeneous Texture와 Edge Histogram 기술자를 적용하여 추출된 각 비디오 프레임의 질감과 에지 정보를 이용한다 이 방법은 비디오의 샷 경계 검출에 있어서 시간적으로 기존 방법들보다 효율적이고, 내용 기반 검색에 유용하다.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.126-135
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• 2002

An image contains various features such as color, shape, texture and location information. When only one of those features is used to retrieve an image, it is difficult to acquire satisfactory retrieval efficiency. Especially, in the database with huge capacity, such phenomenon happens frequently. Therefore, by using moi·e features, efficiency of the contents-based image retrieval (CBIR) system can be improved. This paper proposes a technique to consider location information about specific color as well as color information in image using centroid situation vector. Centroid situation vectors are calculated for specific color of the query image. Then, location similarity is determined through comparing distances between extracted centroid situation vectors of query image and target image in the database. Simulation results show that the proposed method is robust in zoom-in or zoom-out processed images and improves discrimination ability in fliped or rotated images. In addition, the suggested method reduced computational complexity by overlapping information extraction, and that improved the retrieval speed using an efficient index file.

• 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.