• Imaging Science in Dentistry
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• 제32권3호
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• pp.129-134
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• 2002

Purpose : To implement the database system of oral and maxillofacial radiological images using a commercial medical image management software with personally developed classification code. Materials and methods : The image database was built using a slightly modified commercial medical image management software, Dr. Image v.2.1 (Bit Computer Co., Korea). The function of wild card '*' was added to the search function of this program. Diagnosis classification codes were written as the number at the first three digits, and radiographic technique classification codes as the alphabet right after the diagnosis code. 449 radiological films of 218 cases from January, 2000 to December, 2000, which had been specially stored for the demonstration and education at Dept. of OMF Radiology of Dankook University Dental Hospital, were scanned with each patient information. Results: Cases could be efficiently accessed and analyzed by using the classification code. Search and statistics results were easily obtained according to sex, age, disease diagnosis and radiographic technique. Conclusion : Efficient image management was possible with this image database system. Application of this system to other departments or personal image management can be made possible by utilizing the appropriate classification code system.

• 한국정보처리학회논문지
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• 제7권3호
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• pp.977-991
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• 2000

In this paper, a medical image processing system was designed and implemented for morphometric and functional analysis of a human brain. The system is composed of image registration, ROI(region of interest) analysis, functional analysis, image visualization, 3D medical image database management system(DBMS), and database. The software processes an anatomical and functional image as input data, and provides visual and quantitative results. Input data and intermediate or final output data are stored to the database as several data types by the DBMS for other further image processing. In the experiment, the ROI analysis, for a normal, a tumor, a Parkinson's decease, and a depression case, showed that the system is useful for morphometric and functional analysis of a human brain.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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• pp.129-132
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• 2000

In this paper, a multimedia database retrieval system is proposed using MPEG-7 meta data. Multimedia content based retrieval system is implemented with the MPEG-7 meta data extraction and matching technique. MPEG-7 descriptors and descriptor schemes are stored into the database with other meta data. When a query image is given, the descriptors and descriptor schemes of the query image are extracted and compared with the descriptors and descriptor schemes in the database. Finally, images having more similarity are retrieved.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1997년도 International Conference MULTIMEDIA DATABASES on INTERNET
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• pp.24-48
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• 1997

. Supported byㆍDARPA′s image Understanding (IU) program under "Video Retrieval Based on Language and image Analysis" project.DARPA′s Computer Assisted Education and Training Initiative program (CAETI)ㆍObjective: Develop practical systems for automatic understanding and indexing of video sequences using both audio and video tracks(omitted)

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2005년도 춘계 학술발표대회 논문집
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• pp.142-143
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• 2005

• 대한의용생체공학회:의공학회지
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• 제9권2호
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• pp.195-210
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• 1988

We build up distributed database of medical picture and design and realize H/W & S/W of special image workstation. We build up high speed image transmission system for distributed database and retrieval of various medical pictures in w ard through image transmission system and realize integrated image diagnosis. This system improves medical service by speedy diagnosis and enables more precise diagnosis by integrated image diagnosis through distributed database. In economical view this system curtails huge cost of film processing and transmission, which make medical expense cheaf, because it does not use film. We built up PACS in pediatric hospital of Seoul National University Hopital and tested the system with various medical pictures and showed that speedy integrated image diagnosis is possible.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2001년도 디자인학연구 2001 봄 학술발표회 논문집
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• pp.152-153
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• 2001

• 한국컴퓨터정보학회논문지
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• 제18권5호
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• pp.61-68
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• 2013

본 논문에서는 스쿨존 시스템에서 수집된 정보를 저장하고 관리하기 위한 데이터베이스에 대한 설계 방안을 제안하고자 한다. 영상 센서를 통해 수집된 영상정보와 GPS 센서를 통해 수집된 좌표 정보는 네트워크를 통해 시스템 서버에 전달되며, 이는 상황인식을 위한 데이터베이스에 의해 관리된다. 스쿨존 서버 시스템은 데이터베이스에 수집된 정보를 가지고 특정 시나리오에 대한 분석을 수행하며, 이에 대한 결과 및 대응에 대해 모니터링 서버에 보고하거나 결과를 저장한다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.766-771
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• 2008

본 논문에서는 광고영상에서 동일한 광고의 다수 매체(신문, 잡지)에 실리는 판형을 효율적으로 관리하는 데이터베이스 시스템을 구축하기 위한 유사광고를 분류하는 시스템을 제안한다. 현재, 신문광고를 데이터베이스화하는 작업은 사람이 직접 매체를 하나씩 스캐너를 이용하여 영상데이터를 획득한 후 포토샵이나 그림판과 같은 이미지 편집 툴을 이용하여 광고영역을 잘라내고 저장하고, 각 광고에 따른 날짜정보, 매체정보, 페이지정보, 광고가 실린 면의 종류, 크기정보 등을 일일이 기록, 저장하기 때문에 비능률적이고 비효율적인 업무형태로 많은 시간과 인력의 낭비를 초래하고 있다. 이러한 문제를 해결하기 위하여 디지털 카메라를 이용하여 신문영상을 획득하고, 영상 전처리 과정을 통하여 광고후보영역을 추출하며, 신문매체광고가 가지는 특성에 따라 광고후보영역을 분류한다. 따라서 본 시스템은 모든 광고영상의 유사성을 비교하여 신규광고인지, 기존의 광고인지를 분류하여 데이터베이스화 한다.

• ETRI Journal
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• 제39권1호
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• pp.97-107
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• 2017

A fast and accurate building-level visual place recognition method built on an image-retrieval scheme using street-view images is proposed. Reference images generated from street-view images usually depict multiple buildings and confusing regions, such as roads, sky, and vehicles, which degrades retrieval accuracy and causes matching ambiguity. The proposed practical database refinement method uses informative reference image and keypoint selection. For database refinement, the method uses a spatial layout of the buildings in the reference image, specifically a building-identification mask image, which is obtained from a prebuilt three-dimensional model of the site. A global-positioning-system-aware retrieval structure is incorporated in it. To evaluate the method, we constructed a dataset over an area of $0.26km^2$. It was comprised of 38,700 reference images and corresponding building-identification mask images. The proposed method removed 25% of the database images using informative reference image selection. It achieved 85.6% recall of the top five candidates in 1.25 s of full processing. The method thus achieved high accuracy at a low computational complexity.