• The Transactions of the Korea Information Processing Society
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• v.4 no.3
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• pp.685-697
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• 1997

A Viedo-on-Demand(VOD) service is a multimedia service that is realized by the rapid advance of computer and data communication techmologies. Basically, a VOD system is composed of a server and a number fo clients.The server stores and manages a large amount of digital moving picture data. Each slient sends an on-line requwet to the server and receives data for real-time displying. Many researches are performed on a VOD server using hard disks for the permanent video fata storage. However, a hard disk is less reliable and requires more storage cost than a massive storage device. Due to these resasons, a multi-level VOD system is proposed for using teh jukeboxes of optical disks as the permanent video storage,device. In this paper, we prpose the necessary software modules and protocols between the server and its clients for the implementation of the multi-level VOD server.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.168-171
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• 1998

멀티미디어 기술의 발달로 그래픽을 포함한 영상데이터의 사용이 급증하고 있다. 멀티미디어 및 가상현실 응용 시스템은 그래픽을 포함한 영상과 음향이 동기화 되어 제공될 경우 사용자의 현장감과 몰입감을 증대시킬 수 있다. 본 논문에서는 가정용 비디오를 통하여 입력되는 일련의 영상데이타로부터 관심있는 물체의 운동을 추적함으로 물체가 발생시키는 충돌음을 공간적으로 동기화 하여 생성하는 이미지 기반 영상/음향 동기화 기술의 개발에 관하여 논의한다. 대용량의 영상데이터에 대하여 실시간으로 음향을 동기화시키는 것은 현재 기술로 불가능하며, 본 논문에서는 영상과 음향의 공간적 동기화 기술에 대하여 기술한다.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.703-712
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• 2003

With the explosive growth n the numbers and sizes of imaging technologies, Content-Based Image Retrieval (CBIR) has been attacked the interests of researchers in the fields of digital libraries, image processing, and database systems. In general, in the case of query-by-image, in user has to select an image from database to query, even though it is not his completely desired one. However, since query-by-sketch approach draws a query shape according to the user´s desire it can provide more high-level searching interface to the user compared to the query-b-image. As a result, query-by-sketch has been widely used. In this paper, we propose a Java-based image retrieval system that consists of sketch query and image classification. We use two features such as color histogram and Haar wavelets coefficients to search similar images. Then the Leave-One-Out method is used to classify database images. The categories of classification are photo & painting, city & nature, and sub-classification of nature image. By using the sketch query and image classification, w can offer convenient image retrieval interface to user and we can also reduce the searching time.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.35T no.2
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• pp.35-38
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• 1998

We need the packet transmission of voice, data and video according to the development of ATM technology and packet network. In ATM, packet is parted to the constant length data, we called cell, the method is needed to minimize data loss. Because over ATM, we discard error cell without correction in transmission. So, about video, there is layered coding method. We simulated the coding using wavelet transform, which is structurally layed coded, so need not the additional coder.

• Journal of Korean Society for Geospatial Information Science
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• v.3 no.2 s.6
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• pp.151-158
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• 1995

Change detection, image differencing technique, is the most widely used in a variety of image environments. The digital terrain model and digital images have the same data structure. This study applied digital terrain model and change detection technique for inspecting the deflection of the structure. Authors make digital terrain model from triangular irregular network(TIN) by leveling data and suggest to possibility recognize modification part and volumes by digital terrain model and change detection technique. Authors can reduce testing materials and man power, and displayed his modification part.

• Journal of KIISE:Software and Applications
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• v.26 no.12
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• pp.1519-1530
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• 1999

오늘날 멀티미디어 정보의 양이 매우 빠른 속도로 증가함에 따라 멀티미디어 데이타베이스에 대한 효율적인 관리는 더욱 중요한 의미를 가지게 되었다. 게다가 영상과 같은 비 문자형태의 데이타에 대한 사용자들의 내용기반 검색욕구 증가로 인해 비디오 인덱싱에 대한 관심은 더욱 고조되고 있다. 따라서 본 논문에서는 우선적으로 분할된 샷 경계면에서 추출된 대표 프레임과 정지 영상 데이타베이스로부터 유사 영상과 유사 대표 프레임을 검색할 수 있는 환경을 제공한다. 우선적으로 영상에 의한 질의는 기존에 주로 사용되어온 색상 히스토그램방식을 탈피하여 본 논문에서 제안하는 CS와 GS방식을 이용하여 색상 및 방향성 정보도 고려하도록 설계하였다. 또한 얼굴에 의한 질의는 대표 프레임으로부터 얼굴 영역을 추출해 내고 얼굴의 경계선 값 및 쌍 직교 웨이블릿 변환에 의해 얻어진 2개의 특징값을 이용하여 유사 인물이 포함된 대표 프레임을 검색해 내도록 설계하였다. Abstract There is a rapid increase in the use of digital video information in recent years, it becomes more important to manage multimedia databases efficiently. There is a big concern about video indexing because users require content-based image retrieval. In this paper, we first propose query-by-image system environment which allows to retrieve similar images from the chosen representative frames or images from the image databases. This algorithm considers not only the discretized color histogram but also the proposed directional information called CS & GS method. Finally, we designe another query environment using query-by-face. In this system , user selects a people in the representative frame browser and then system extracts a face region from that frame. After that system retrieves similar representative frames using 2 features, edge information and biorthogonal wavelet transform.

• Journal of KIISE:Software and Applications
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• v.32 no.7
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• pp.674-682
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• 2005

This paper proposes classification of multi-spectral satellite image based on fusion of fuzzy G-K (Gustafson-Kessel) algorithm and PCM algorithm. The suggested algorithm establishes the initial cluster centers by selecting training data from each category, and then executes the fuzzy G-K algorithm. PCM algorithm perform using classification result of the fuzzy G-K algorithm. The classification categories are allocated to the corresponding category when the results of classification by fuzzy G-K algorithm and PCM algorithm belong to the same category. If the classification result of two algorithms belongs to the different category, the pixels are allocated by Bayesian maximum likelihood algorithm. Bayesian maximum likelihood algorithm uses the data from the interior of the average intracluster distance. The information of the pixels within the average intracluster distance has a positive normal distribution. It improves classification result by giving a positive effect in Bayesian maximum likelihood algorithm. The proposed method is applied to IKONOS and Landsat TM remote sensing satellite image for the test. As a result, the overall accuracy showed a better outcome than individual Fuzzy G-K algorithm and PCM algorithm or the conventional maximum likelihood classification algorithm.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.551-562
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• 2002

Digital TV software, receiver system for digital broadcasting, processes huge MPEG-2 TS formatted data that has variable hierarchy. Because of complexity and enormity of MPEG-2 TS, it is difficult for user to generate test data manually. Generating of test data is not only expensive and time consuming but also requires expert knowledge of MPEG-2 standard. In this paper, we implemented the tool that generates the MPEG-2 TS formatted test data for Digital TV software. Using this tool, user ran get reliable test data without extensive knowledge of MPEG-2 standard. Also, database mechanism that our tool based on supports variable hierarchy of MPEG-2 TS.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.11
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• pp.853-858
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• 2006

In this paper, we propose a practical method for hardware-accelerated rendering of the depth image-based representation(DIBR) of 3D graphic object using graphic processing unit(GPU). The proposed method overcomes the drawbacks of the conventional rendering, i.e. it is slow since it is hardly assisted by graphics hardware and surface lighting is static. Utilizing the new features of modem GPU and programmable shader support, we develop an efficient hardware-accelerating rendering algorithm of depth image-based 3D object. Surface rendering in response of varying illumination is performed inside the vertex shader while adaptive point splatting is performed inside the fragment shader. Experimental results show that the rendering speed increases considerably compared with the software-based rendering and the conventional OpenGL-based rendering method.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.142-144
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• 2002

대부분의 내용기반 이미지 검색 시스템은 이미지의 특징 벡터인 색상, 모양, 그리고 질감에 의해서 유사한 이미지를 검색하는 기법을 제공하고 있다. 최근 이러한 내용기반 이미지 검색 기술은 의료 영상 이미지와 같은 다양한 분야에 적용되고 있으며, 이에 따라서 의료 이미지를 분석하여 저장, 검색하기 위한 데이터베이스 시스템이 증가하고 있다. 그러나, 대량의 이미지로부터 원하는 이미지를 검색하기 위해서는 이미지의 메타데이타를 효율적으로 표현해야 하며, 의미성과 이미지의 특징 데이터를 통합적으로 저장 관리 할 수 있는 이미지 데이터베이스를 설계하고 구축해야만 한다. 본 논문에서는 기존의 내용기반 이미지 검색 기법을 살펴보고. 이미지를 내용기반으로 분류하고 저장할 수 있는 데이터베이스 시스템을 설계하여 효율적인 의미기반 검색을 지원말 수 있는 모델을 제시한다. 다계층 메타데이타 레이어 구조로 이미지에 대한 개념 지식 모델을 표현하고, 이미지내의 객체를 메타데이타로 표현하여 분류할 수 있는 모델을 제안한다. 또한, 이미지 내용검색을 지원하기 위한 시스템 구조를 설계하고, 메타데이타가 저장되기 위한 관계형 모델을 스타 스키마의 형태로 제시한다. 제안된 방법은 의미적인 이미지 내용 검색 방법의 지원에 활용될 수 있다.