• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.96-106
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• 2002

We introduce a novel scheme to characterize and index events in TV golf programs using MPEG-7 descriptors. Our goal is to identify and localize the golf events of interest to facilitate highlight-based video indexing and summarization. In particular, we analyze multiple (low-level) visual features using domain-specific model to create a perceptual relation for semantically meaningful(high-level) event identification. Furthermore, we summarize a TV golf program with TV-Anytime segmentation metadata, a standard form of an XML-based metadata description, in which the golf events are represented by temporally localized segments and segment groups of highlights. Experimental results show that our proposed technique provides reasonable performance for identifying a variety of golf events.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.71-78
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• 2010

Even though various types of image segmentation methods have been extensively introduced, robustly segmenting images to environmental conditions such as illumination changes, shading, highlight, etc, has been known to be a very difficult task. To resolve the problem in some degree, we propose in this paper an environment-adaptive image segmentation approach using color invariants. The suggested method first introduces several color invariants like W, C, U, N, and H, and automatically measures environmental conditions in which images are captured. It then chooses the most adequate color invariant to environmental factors, and effectively extracts edges using the selected invariant. Experimental results show that the proposed method can robustly perform edge-based segmentation rather than existing methods. We expect that our method will be useful in many real applications which require edge-based image segmentation.

• Journal of KIISE:Software and Applications
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• v.27 no.7
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• pp.712-722
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• 2000

In this paper, we suggest and test a classification technique of offence pattern from group formation to automatically index highlights of soccer games. A BP (Back-propagation) neural nets technique was applied to the information of the position of both the player and the ball on a ground, and the distance between the player and the ball to identify the group formation in space and time. The real soccer game scenes including '98 France World Cup were used to extract 297 video clips of various types of offence patterns; Left Running 60, Right Running 74, Center Running 72, Corner-kick 39 and Free-kick 52. The results are as follows: Left Running comes to 91.7%, Right Running 100%. Center Running 87.5%, Corner-kick 97.4% and Free-kick 75%, and these showed quite a satisfactory rate of recognition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.418-424
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• 2018

Detection and classification of underwater targets is an important issue for both military and non-military purposes. Recently, many performance improvements are being reported in the field of pattern recognition with the development of deep learning technology. Among the results, DBN showed good performance when used for pre-training of DNN. In this paper, DBN was used for the classification of underwater targets using active sonar, and the results are compared with that of the conventional BPNN. We synthesized active sonar target signals using 3-dimensional highlight model. Then, features were extracted based on FrFT. In the single aspect based experiment, the classification result using DBN was improved about 3.83% compared with the BPNN. In the case of multi-aspect based experiment, a performance of 95% or more is obtained when the number of observation sequence exceeds three.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.235-237
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• 2022

Video content is divided into long-form video content and short-form video content according to the length. Long form video content is created with a length of 15 minutes or longer, and all frames of the captured video are included without editing. Short-form video content can be edited to a shorter length from 1 minute to 15 minutes, and only some frames from the frames of the captured video. Due to the recent growth of the single-person broadcasting market, the demand for short-form video content to increase viewers is increasing. Therefore, there is a need for research on content editing technology for editing and generating short-form video content. This study studies the technology to create short-form videos of main scenes by capturing images, voices, and motions. Short-form videos of key scenes use a pre-trained highlight extraction model through machine learning. An automatic video editing system and method for automatically generating a highlight video is a core technology of short-form video content. Machine learning-based automatic video editing method and system research will contribute to competitive content activities by reducing the effort and cost and time invested by single creators for video editing

• Journal of IKEEE
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• v.27 no.4
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• pp.512-517
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• 2023

In this study, we propose a liquid crystal-based polarization control technology that can control polarization by adjusting the voltage applied to the liquid crystal, and apply it to a Closed-circuit Television (CCTV) to transmit only the desired angle of polarized light. CCTV with conventional polarizing films cannot control polarization because they focus on backlight compensation, so light reflected from the water surface or highlights reflected from vehicles interfere with subject identification. However, the Vertical Alignment mode allows the polarization to be adjusted electrically, so that only the polarized light at the user's desired angle is transmitted, eliminating reflected highlights. The images obtained using this technique are optimized by computer software. Liquid crystal polarization panels, which can electrically control the polarization angle, transmittance, and polarization rate, have been applied to polarized image monitoring device to improve subject identification in conventional CCTV.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.9C
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• pp.881-887
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• 2007

In this paper, we proposed a method for content based automatic summarization of basketball game videos. For meaningful summary, we used the score information in basketball videos. And the score information is obtained by recognizing the digits on the score caption and analyzing the variation of the score. Generally, important events of basketball are the 3-point shot, one-sided runs, the lead changes, and so on. We have detected these events using score information and made summaries and highlights of basketball video games.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2001.11b
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• pp.221-225
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• 2001

논문은 리눅스를 기반으로 하여 디지털 방송 컨텐츠를 브라우징하는 기술과 서비스에 필요한 기술들을 제시하고 이를 활용한 서비스 모델을 제시한다. 사용자에게 방송 프로그램의 정보의 습득과 검색을 위해 EPG(Electronic Program Guide)를 이용하여 방송 컨텐츠를 장르와 채널 카테고리로 자동 분류한다. 각 프로그램에서 키 프레임을 추출하여 사용자에게 빠르게 탐색하게 하고 줄거리 파악을 쉽게 하였다. 비순차적인 재생 요구를 수용하기 위해 랜덤 엑세스와 컨텐츠와 추출된 키 프레임을 동기화 하여 하이라이트 모드로 재생하고 연속 재생을 할 수 있게 한다. 사용자와의 상호 작용에서 얻어진 채널과 장르 선호도 정보를 이용하여 컨텐츠를 개인의 성향에 맞게 장르와 채널별로 분류하여 개인화된 프로그램 가이드를 제공한다. 컨텐츠의 획득에서 누적된 취향에 따른 분류, 브라우징을 위한 키프레임 추출과 샷 분류를 통한 가공, Payper-View를 위한 사용정보에 이르기까지 리눅스 기반의 로컬 스토리지를 활용한 디지털 방송 브라우징 모델을 제시한다.

• TTA REPORT
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• v.5 no.1 s.17
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• pp.17-24
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• 1993

고도 정보화 시대를 향한 세계 전기통신 분야의 눈부신 발전과 함께 전기통신 부문의 국내 표준화의 국제 표준화를 실현하고 첨단기술분야의 연구개발을 촉진하여 선진각국 기술수준으로 향상시키기 위한 전기통신 국제 표준화 조사 연구를 실시해 온 ITU 국내 연구단이 지난 1월 12일에서 13일 이틀에 걸쳐 삼성동 한국 종합전시장 회의실에서 ''92년도 ITU국내 연구단 연구 발표회를 갖고 ''92활동 결과를 마무리 지었다. 이와 함께 국제회의 참가 보고회도 갖고 각종 정보를 서로 교환하는 한편 국제회의 전문가 육성이 시급하다는 데 인식을 같이 했다. 특히 올해부터 세계전기통신 표준화 부문으로 통합$\cdot$이전되는 ITU의 구조개편과 더불어 CCIR과 CCITT로 구분하는 것으로서는 마지막 연구 발표회이기에 그 의미가 자못 크다 하겠다. 이 후에도 전기통신 국제 표준화 조사연구활동이 더욱 더 왕성하고 활발하게 이루어 질 것을 기대하며 지면의 제약으로 인해 전문 게재치 못함을 널리 양해해 주시기 바라면서 이날 발표된 내용 가운데 주요 내용만을 하이라이트로 묶어 보았다.

• Proceedings of the Korean Society for Information Management Conference
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• 2012.08a
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• pp.93-98
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• 2012

본 연구는 간호학과 교수들과 간호학과 학생들의 전자책에 대한 인식 및 이용현황을 살펴보고 앞으로 대학교 학술교재를 전자책으로 전환할 때 필요한 요소에 대해 살펴보고자 하였다. 이를 위해 전국 간호학과 교수 82명과 간호학과 학생 127명들을 대상으로 온라인 설문조사를 실시하여 전자책에 대한 선호도와 현재 사용 중인 대학교재를 전자책으로 대체할 경우 전자책의 원하는 기능들에 대해서 조사하였다. 70%이상의 응답자들이 대학교재는 아직까지 인쇄형태의 교과서를 선호하였으며, 그 이유로는 전자책으로 이용 가능한 교재수가 적고 전자책 단말기 구입비용에 대한 부담을 꼽았다. 전자책에 추가되었으면 하는 기능으로는 손쉬운 메모기능과 하이라이트 기능, 비디오나 이미지 자료 삽입, 검색의 용이성과 사전기능 추가를 추천하였다.