• Journal of the Korea Society of Computer and Information
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• v.22 no.6
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• pp.33-40
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• 2017

This article is to investigate the possibility that project-based classes introducing mobile phones can replace the monotony of traditional classes led by teachers as well as they can encourage students to take active part in the classes to some extent. The students in groups choose a genre for their own video projects (e.g., movie, drama, news, documentary, and commercial) and produce the video contents using a mobile phone for presentation made at the end of a semester. In the sense that the students are allowed to do video-based mobile phone projects, they can work independently outside of class, where time and space are more flexible and students are free from the anxiety of speaking or acting in front of an audience. A mobile phone project consists of around five stages done both in and outside of the classroom. All of these stages can be graded independently, including genre selection, drafting of scripts, peer review and revision, rehearsals, and presentation of the video. Feedback is given to students. After the presentation, students filled out a survey questionnaire sheet devised to analyze students' responses toward preferences and level of difficulty of the project activity. Finally, proposals are made for introduction of a better mobile phone-based project classes.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.5
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• pp.58-64
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• 2001

Recently many informations are transmitted ,md stored as video data, and they are on the rapid increase because of popularization of high performance computer and internet. In this paper, to retrieve video data, shots are found through analysis of video stream and the method of detection of key frame is studied. Finally users can retrieve the video efficiently. This Paper suggests a new feature that is robust to object movement in a shot and is not sensitive to change of color in boundary detection of shots, and proposes the characterizing value that reflects the characteristic of kind of video (movie, drama, news, music video etc,). The key frames are pulled out from many frames by using the local minima and maxima of differential of the value. After original frame(not de image) are reconstructed for key frame, indexing process is performed through computing parameters. Key frames that arc similar to user's query image arc retrieved through computing parameters. It is proved that the proposed methods are better than conventional method from experiments. The retrieval accuracy rate is so high in experiments.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.3
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• pp.115-124
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• 2004

The content-based retrieval using low-level features can hardly provide the retrieval result that corresponds with conceptual demand of user for intelligent retrieval. Video includes not only moving picture data, but also audio or closed-caption data. Knowledge-based video retrieval is able to provide the retrieval result that corresponds with conceptual demand of user because of performing automatic indexing with such a variety data. In this paper, we present the knowledge-based video retrieval system using Korean closed-caption. The closed-caption is indexed by Korean keyword extraction system including the morphological analysis process. As a result, we are able to retrieve the video by using keyword from the indexing database. In the experiment, we have applied the proposed method to news video with closed-caption generated by Korean stenographic system, and have empirically confirmed that the proposed method provides the retrieval result that corresponds with more meaningful conceptual demand of user.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.92-97
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• 1998

For the efficient searching and browsing of digital video, it is essential to extract the internal structure of the video contents. As an example, a news video consists of several sections such as politics, economics, sports and others, and also each section consists of individual topics. With this information in hand, users can ore easily access the required video frames. This paper addresses the problem of automatic shot boundary detection and selection of representative frames (R-frames), which are the essential step in recognizing the internal structure of video contents. In the shot boundary detection, a new algorithm that have dual detectors which are designed specifically for the abrupt boundaries (cuts) and gradually changing bounaries respectively is proposed. Compared to the existing 미algorithms that mostly have tried to detect both types by a single mechanism, the proposed algorithm is proved to be more robust and accurate. Also in the problem of R-frame selection, simple mechanical approaches such as selecting one frame every other second have been adopted. However this approach often selects too many R-frames in static short, while drops important frames in dynamic shots. To improve the selection mechanism, a new R-frame selection algorithm that uses motion information extracted from pixel difference is proposed.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.101-103
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• 1998

뉴스기사를 구성하는 NOD데이터는 VOD(Video on Demand) 데이터와는 달리 미디어의 종류 및 크기, 시간적인 접근 지역성, 사용자와 상호 작용성 등의 차이점을 가질 뿐만 아니라 새로운 뉴스기사가 수시로 생성되고 사용자가 인기도가 높은 기사와 최신의 뉴스기사에 더 많이 접근하는 특성을 가진다. 본 논문에서는 현재 서비스중인 전자신문의 로그파일을 분석하여 NOD 뉴스기사의 인기도가 Zipf분포와 다름을 보이고, 뉴스기사의 생명주기Lifr Cycle)에 따른 접근 확률분포 제시한다. NOD 데이터의 접근 편기성으로 인하여 데이터 캐싱을 통한 NOD 서버의 성능 향상을 기대할 수 있으나 뉴스기사의 생명주기가 짧고 접근시간대별로 사용자 접근형태가 변하는 등의 이유로 단순히 인기도만 고려한 캐싱은 빈번한 데이터 재배치 문제로 인해 높은 캐시 관리비용을 야기한다. 따라서 본 논문에서는 뉴스 기사의 접근 편기성에 나타나는 인기도(popularity)와 생명주기를 조합한 척도를 제안하고 이를 이용한 재배치를 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.3-5
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• 1998

단일 데이터적 특성을 가진 VOD(Video On Demand)와 같은 멀티미디어 응용의 경우 복합적이고 집합적인 클러스터링 서버구조(composite clustered server structure)를 가정하는 경우가 대부분 이었다. 그러나, 혼합 데이터적 특성이 강한 MNOD 와 같은 멀티미디어 응용은 단일화된 클러스터링 서버 구조 보다는 각 데이터의 특성을 잘 반영할 수 있는 독립적이고 분산된 형태의 클러스터링 구조가 필수적이다. 이에 본 논문은 MNOD 서비스를 위한 새로운 형태의 클러스터링 서버 구조를 설계하고, 구조의 당위성을 큐잉 분석 Alc 스케줄링의 효율성 측면에서 증명하려고 시도하였다. 큐잉 분석 결과, 독립적 형태의 구조가 지니는 확장성, 실패회복의 용이성 등의 제반 장점 뿐 아니라 응답시간의 측면에서도 기존의 집합적인 클러스터링 구조보다 좋은 성능을 보였다.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.04a
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• pp.323-327
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• 1998

컴퓨터와 통신망 기술의 발전으로 많은 언론 기관에서 전자신문 서비스를 제공하고 있다. 그러나 현재 서비스되는 전자신문은 텍스트 위주의 정적인 정보를 주고 서비스 하며, 사용자가 필요한 정보를 찾아 다니는 pull 기술을 기반으로 서비스한다. 그리고 사용자 맞춤 기능을 제공하기 못하므로, 불필요한 정보를 사용자에게 전송함으로써 시스템 자원을 낭비하는 단점을 가지고 있다. 본 논문에서는 멀티미디어 데이터를 지원하는 NOD(News On Demand)시스템에서 텍스트 데이터 뿐아니라 오디오/비디오 데이터를 push 하므로써 서버의 load를 분배시키고 사용자에게 실시간성을 제공하는 NOD 분배 서버를 설계하고 프로토타입을 구현하였다. 특히 본 논문에서는 대용량 데이터인 오디오/비디오 데이터를 사용자 시스템으로 Push할 때, 사용자 시스템의 디스크 공간상태 등을 고려하여 실시간성을 유지할 수 있는 적정 Push 량을 시뮬레이션을 통해 측정하였다.

• Fashion & Textile Research Journal
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• v.14 no.2
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• pp.165-172
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• 2012

The purpose of this study was to examine and analyze broadcasting station's image expressed in wearing dress color of male and female news anchors. The data were collected from replay video news(n=180) provided in each station's website during 2005-2010 year. The results were as follows. First, in the case of the male anchor, KBS was focused on the quiet and classic image and the gentle image. MBC was focused on the vital and urban image. SBS was focused on the dynamic and young image. Second, in the case of the female anchor, KBS was focused on the neat, soft, and feminine in S/S season, on the other hand the loud and flamboyant image in F/W season. MBC was focused on the vital and urban image like image of a male anchor. SBS was focused on the private image of a female anchor than broadcasting station's image. Through the results of this study, the image of the individual and companies can be symbolized by the color of dress.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.755-758
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• 2005

뉴스 데이터를 구조적으로 분할하고 의미적으로 분류하여 내용별로 세분화하여 검색하는 방법을 제안한다. 구조적 분할은 공간 밝기 분포와 명암도의 불연속성 그리고 시간적인 관계 등 프레임간의 상관 정보를 이용하여 장면을 분할한다. 의미적 분류는 키 프레임에서 추출된 특징 정보를 사전 지식 정보와 비교하여 뉴스 비디오의 세부 내용을 기사별로 분류한다. 뉴스의 진행이 앵커 프레임을 중심으로 주기적으로 반복된다는 특징을 이용하여 앵커 장면과 비 앵커 장면으로 기사를 분류한다. 비 앵커 장면은 연설장면, 인터뷰장면, 일반 장면으로 세분화하고 기사별로 분류하여 검색하도록 한다. 또한 뉴스 아이콘에 의한 요약 검색 기능 그리고 자막 통합 처리에 의한 자막 검색을 하여 뉴스 비디오를 내용별로 분류하고 인덱싱하여 신속하게 뉴스 비디오를 검색할 수 있도록 설계한다.