• Journal of KIISE:Computing Practices and Letters
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• v.10 no.6
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• pp.514-528
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• 2004

An emotion-based video scene retrieval algorithm is proposed in this paper. First, abrupt/gradual shot boundaries are detected in the video clip representing a specific story Then, five video features such as 'average color histogram' 'average brightness', 'average edge histogram', 'average shot duration', and 'gradual change rate' are extracted from each of the videos and mapping between these features and the emotional space that user has in mind is achieved by an interactive genetic algorithm. Once the proposed algorithm has selected videos that contain the corresponding emotion from initial population of videos, feature vectors from the selected videos are regarded as chromosomes and a genetic crossover is applied over them. Next, new chromosomes after crossover and feature vectors in the database videos are compared based on the similarity function to obtain the most similar videos as solutions of the next generation. By iterating above procedures, new population of videos that user has in mind are retrieved. In order to show the validity of the proposed method, six example categories such as 'action', 'excitement', 'suspense', 'quietness', 'relaxation', 'happiness' are used as emotions for experiments. Over 300 commercial videos, retrieval results show 70% effectiveness in average.

• Proceedings of the Korea Database Society Conference
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• 1997.10a
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• pp.393-404
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• 1997

1. HiWEB 서비스 $\textbullet$ 의의 HiWEB서비스는 95년도 공공DB개발사업의 일환으로 과거 텍스트 기반의 DB 에서 탈피하여 한국통신과 한국PC통신이 공동 개발한 국내최초의 멀티미디어 DB로서 그 의의를 가지고 있다. $\textbullet$ 접속경로 01410(01411)접속 1.HiTEL INFOSHOP $\longrightarrow$99. Web서비스 $\longrightarrow$l.HiWEB 인터넷 직접접속 http : //hiweb. kornet. nm. kr $\textbullet$ 구성 내용 NeoGate : 인터넷 홈쇼핑 서비스 WebTheater: 연극/영화/비디오/음악 등 문화정보 서비스 WebCollege： 토익/생활영어 등 교육정보 서비스 대화방/게시판 등 각종 BBS기능 추가 개발중 2. 국내외 인터넷 쇼핑몰 현황 1) 해외 $\textbullet$ '97년 전자상거래 사업규모 80억 달러 추정(Forrester Research) -'96년 대비 10배 증가/2002년에 서비스의 총가치 3270억 달러 예상 $\textbullet$ Amazon(1 천 8백만 달러/96년), Cdnow(6백만달러/96년) 등이 유명 2) 국내 $\textbullet$ 인터파크, 인터넷백화점(롯데)을 선두로 우후죽순격으로 생겨난 인터넷 쇼핑몰간에 치열한 경쟁체제가 구축돼가는 전자상거래(인터넷홈쇼핑)의 초기단계이다.(중략)

• Proceedings of the Korea Database Society Conference
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• 1997.10a
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• pp.137-155
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• 1997

이 글에서는 디지털 아카이브 되거나 데이터베이스화 되어있는 영상정보의 저장규모와 이용 시장에 대하여 기술한다. 현재, CD-ROM 타이틀, 비디오 CD 및 DVD 타이틀과 인터네트를 통한 부분적인 이용에 그치고 있는 디지털 영상정보는 무어의 법칙을 따르는 컴퓨터 프로세서 성능 증대, 50 만원대에 20GB용량을 가지는 광자기 디스크의 출현처럼 계속 확장되고 있는 저장용량, Gigabit LAN의 등장과 같이 지속적으로 확대되는 통신 네트워크의 전달용량, 영상기반 렌더링을 이용하는 새로운 가상세계 구축기술 등 그 활용을 가속시키는 여러 요인들에 의해 용도가 큰 폭으로 증가하고 있다. 이에 따라 영상정보는 교육, 의료 등 기본적인 생환산업 분야를 비롯하여 여러 산업 분야의 경쟁력을 강화시킬 수 있는 정보원으로서의 근간이 될 것이다. 이러한 발전의 지속은 기술에 의해서만 보장될 수 있으므로, 영상정보의 디지털 처리, 디스플레이, 저장 등의 디지털 아카이브 관련 기술과 디지털 영상정보의 편집, 저작, 검색, 전송 등에 관련된 분야의 기술 확보를 어떻게 대비해야 할 것인가가 중요한 과제이다.

• Proceedings of the Korea Database Society Conference
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• 2001.06a
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• pp.362-368
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• 2001

본 논문에서는 고객의 특성을 고려한 최적의 추천시스템을 개발하기 위하여 기존의 인구통계학적 특성에 따른 협동적필터링 기법의 추천 효율을 비교 분석하였다. 비디오에 대한 사용자 평가 값과 예측 값간의 추천 효율에 대한 비교실험을 통하여 상품에 대한 단순한 선호도만을 고려한 기존의 협동적필터링 방법에 의한 추천시스템의 문제점을 개선하여 추천된 상품이나 콘텐츠에 대한 개인별 추천 효율을 향상시키기 위한 모델을 제시하였다. 본 연구 결과를 이용하여 인터넷 비즈니스 분야에서 활발하게 도입되고 있는 eCRM 시스템에서 가장 중요한 요소인 고객들의 인구통계학적인 다양한 특성을 고려한 협동적필터링 기반의 추천시스템을 개발할 수 있으리라 기대한다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.5
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• pp.1153-1161
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• 1997

In this paper, we propose Teloemedicine system on CBM(Computer Based Multimedia) based collaborative multimedia which supports special medicine and collaborative medicine with DB, face-to-face dffedt.This system is an application developed by SDK (Software Development Kit) of DooRae(Distributed Objected Oriented Multimedia Application Crafting Environment for Collaborative)framework.And this system is devel-Oriented Multimedia Applecation Crafting Environment for Collaborative) framework, And this system is devel-oped on windows 95 and windows NT.The scenario of this system is limited within only hospital(LAN), but it is possibloe to support many applications development in various nerwork(MAN, PSYN, WAN)on DooRae.This system has a smoth interaction by video and audio, multiple session, multiple participation, application sharing, toolbox including ICON and whiteboard.Also this system supports realo or non-real type without con-straint of the and space.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.479-488
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• 2002

In recent years the amount of digital video used has risen dramatically to keep pace with the increasing use of the Internet and consequently an automated method is needed for indexing digital video databases. Textual information, both superimposed and embedded scene texts, appearing in a digital video can be a crucial clue for helping the video indexing. In this paper, a new method is presented to extract both superimposed and embedded scene texts in a freeze-frame of news video. The algorithm is summarized in the following three steps. For the first step, a color image is converted into a gray-level image and applies contrast stretching to enhance the contrast of the input image. Then, a modified local adaptive thresholding is applied to the contrast-stretched image. The second step is divided into three processes: eliminating text-like components by applying erosion, dilation, and (OpenClose+CloseOpen)/2 morphological operations, maintaining text components using (OpenClose+CloseOpen)/2 operation with a new Geo-correction method, and subtracting two result images for eliminating false-positive components further. In the third filtering step, the characteristics of each component such as the ratio of the number of pixels in each candidate component to the number of its boundary pixels and the ratio of the minor to the major axis of each bounding box are used. Acceptable results have been obtained using the proposed method on 300 news images with a recognition rate of 93.6%. Also, my method indicates a good performance on all the various kinds of images by adjusting the size of the structuring element.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.864-876
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• 2000

This paper proposes a new scene boundary detection scheme for the MPEG System stream using MPEG Audio information and proves its usefulness by extensive experiments. A scene boundary has a characteristic that the audio as well as video information are changed rapidly. This paper first classifies this scene boundary into three cases ; Radical, Gradual, Micro Changes, with respect to the audio changes. The Radical change has a large-scale changing of decibel value and pitch value at a scene boundary, the Gradual change shows the long-time transition of decibel and pitch values from max to min or vice versa, and the Micro change displays a some change of pitch or frequency distribution without decibel changes. Upon this analysis, a new scene change detection algorithm detecting these three cases is proposed in which a progressive window with a time line is used to trace the changes in the audio information. Some experiments with various movies show that proposed algorithm could produce a high detection ratio for Radical change that is the most popular scene change in the movies, while producing a moderate detection ratio for Gradual and Micro changes. The proposed scene boundary detection scheme could be used to build a database for visual information like MPEG System stream.