• The KIPS Transactions:PartA
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• v.10A no.6
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• pp.737-748
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• 2003

With the popularity of digital music contents, querying and retrieving music contents efficiently from database has become essential. In this paper, we propose a Fast Melody Finder (FMF) that can retrieve melodies fast and efficiently from music database using frequently queried tunes. This scheme is based on the observation that users have a tendency to memorize and query a small number of melody segments, and indexing such segments enables fast retrieval. To handle those tunes, FMF transcribes all the acoustic and common music notational inputs into a specific string such as UDR and LSR. We have implemented a prototype system and showed on its performance through various experiments.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.245-252
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• 2014

Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. In this paper, we describe a user query interpretation system for the semantic retrieval of multimedia contents. Our system is ontological knowledge base-driven in the sense that the interpretation process is integrated into a unified structure around a knowledge base, which is built on domain ontologies.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.425-432
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• 2002

The purpose of this study is to help implement KISTI knowledge management systems through analysis of ordering which is most important among system characteristics. This study uses Delphi Technique to specialist in science and technology knowledge content area for empirical analysis. The result of this study is as followed First, the most important characteristic is retrieval function in systems. Second knowledge management systems basic characteristics like as retrieval function storage/retention function, accessibility, easy of usa classification function lank high position while additional characteristics like as knowledge linkage, knowledge evaluation, personalization, communication supporting, multimedia supporting lank low position.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.12B
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• pp.1066-1080
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• 2003

In this paper a scalable QoS routing scheme for distributed multimedia applications in a hierarchical wide area network is proposed. The problem of QoS routing is formulated as a multicriteria shortest path problem, known as NP-complete. The proposed hierarchical routing scheme consists of two phases. In Phase 1, every border node periodically pre-computes the QoS distance for the paths between every pair of border nodes in any level of domain hierarchy. This phase is independet of the QoS request from an application. In Phase II, distributed graph construction algorithm is performed to model the network as a graph by retrieving pre-computed QoS distances. The graph is constructed by the on-demand algorithm and contains a part of the network topology which is completely neglected or partially considered by existing routing schemes, thus maintaining more accurate topology information. By using retrieval approach rather than advertising one, no global QoS state information exchange among nodes is needed. In this Phase, distributed partition algorithm for QoS routing problem is also performed, thus eliminating virtual links on the hierarchically complete path.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.3 s.303
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• pp.73-80
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• 2005

Recently there have been many efforts to support searching and browsing based on the visual content of image and multimedia data. Most existing approaches to content-based image retrieval rely on query by example or user based low-level features such as color, shape, texture. But these methods of query are not easy to use and restrict. In this paper we propose a method for automatic color object extraction and labelling to support multiple queries of content-based image retrieval system. These approaches simplify the regions within images using single colorizing algorithm and extract color object using proposed Color and Spatial based Binary tree map(CSB tree map). And by searching over a large of number of processed regions, a index for the database is created by using proposed labelling method. This allows very fast indexing of the image by color contents of the images and spatial attributes. Futhermore, information about the labelled regions, such as the color set, size, and location, enables variable multiple queries that combine both color content and spatial relationships of regions. We proved our proposed system to be high performance through experiment comparable with another algorithm using 'Washington' image database.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.12
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• pp.756-771
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• 2003

Digital Video Library System which manages a large amount of multimedia information requires efficient and effective retrieval methods. In this paper, we propose and implement a new video search and retrieval algorithm that compares the query video shot with the video shots in the archives in terms of foreground object, background image, audio, and its context. The foreground object is the region of the video image that has been changed in the successive frames of the shot, the background image is the remaining region of the video image, and the context is the relationship between the low-level features of the adjacent shots. Comparing these features is a result of reflecting the process of filming a moving picture, and it helps the user to submit a query focused on the desired features of the target video clips easily by adjusting their weights in the comparing process. Although the proposed search and retrieval algorithm could not totally reflect the high level semantics of the submitted query video, it tries to reflect the users' requirements as much as possible by considering the context of video clips and by adjusting its weight in the comparing process.

• Journal of KIISE:Databases
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• v.37 no.1
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• pp.44-49
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• 2010

In this paper, we first address the problems associated with indexing and searching for reduced-dimensional vectors, which are reduced by using a combination of angle approximation and dimension grouping. Then, we propose a novel method to solve the problems. We also show the superiority of the proposed method by performing extensive experiments with synthetic and real-life data sets.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1053-1056
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• 2001

시스템들은 시스템에서 발생한 일들에 대한 기록을 로그의 형식으로 남긴다. 이러한 로그들은 여러가지 목적으로 작성되어지며 이용되어진다. 그러나 로그 기록은 침입탐지뿐 아니라 여러 가지 목적을 가지고 이루어진다. 그러한 로그들 역시 침입 탐지에 사용한 수 있는 많은 정보가 있음에도 불구하고 사용되지 않고 버려지고 있음이 현실이다. 본 논문에서는 침입 탐지를 위하여 이러한 로그들을 적극적으로 이용함을 목적으로 한다. 또한 최근의 공격형태의 변화로 인해 하나의 시스템관점이 아닌 네트워크 관점에서의 탐지와 대응이 필요하게 되었다. 이를 위해 공격에 이용된 시스템들을 파악하고 그들의 정보를 이용한 수 있게 함으로써 상호 협력이 가능케 한다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.280-282
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• 1998

정보화 사회에서 효율적인 정보관리를 위해서 가장 필요한 것은 정보를 표현, 교환하기 위해서 작성, 관리했던 문서정보를 전자문서로 변화하여 관리하는 기술이다. 또한, 사용자에게 필요한 정보를 제공하기 위해서 대량의 전자문서 중에서 효과적으로 관련 전자문서를 탐색하여 사용자에게 제공하는 문헌정보 검색 시스템이 필요하다. 문헌정보 검색 시스템에서는 대량의 멀티미디어 형식의 문서를 체계적으로 구조화하고 컴퓨터에 대한 전무지식을 갖지 못한 사용자의 부정확한 질의에 대해서도 관련내용을 빠르게 제공할 수 있는 기능이 필수이다. 본 논문은 국내외에서 발표되는 전산학 관련 기술문서를 위한 메타정보를 SeriCore DTD형식에 따라 SGML문서로 작성하여 기술문서를 위한 메타데이타베이스를 구축하고, 이를 사용자가 효과적으로 검색할 수 있는 검색 클라이언트를 개발하는 것을 목적으로 한다.

• MALSORI
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• no.44
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• pp.115-130
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• 2002

Voice input is often required in many new application environments, but the low rate of speech recognition makes it difficult to extend its application. Previous approaches were to raise the accuracy of the recognition by post-processing of the recognition results, which were all lexical-oriented. We suggest a new semantic-oriented approach in speech recognition error correction. Through experiments using a speech-driven in-vehicle telematics information application, we show the excellent performance of our approach and some advantages it has as a semantic-oriented approach over a pure lexical-oriented approach.