• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.572-575
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• 2005

In digital contents industry there is a high demand to convincingly mimic the appearance and behavior of natural phenomena such as smoke, waterfall, rain, and fire. Particle systems are methods adequate for modeling fuzzy objects of natural phenomena. It is clear which parameter of which action in a particular effect should be modified for a particular visual result. The generator is usable for offline animation and for real-time special effects in digital contents and virtual reality. The application programmer is able to specify different accuracy needs for different effects. This paper design special effect generator for make low-price and high-quality digital contents in reflection industry and virtual reality applications.

• Korean Journal of Optics and Photonics
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• v.18 no.6
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• pp.421-425
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• 2007

A new 3D rear projection display system using double-layer polarization-selective screen systems, one stacked in front of the other, has been developed. The front and rear screens are made of scattering polarizer films, and they either diffuse-scatter or transmit the incident light depending on the polarization state of the light. The near and for images are projected onto the front and rear screens, respectively, using light waves with mutually orthogonal polarization states. The new display system produces clear high-resolution images, which are visible over a wide range of viewing angle. It was found that the impression of depth is pronounced and eyestrain is only comparable to that by 2D display systems.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.193-198
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• 2018

Recently, the casualties of automobile traffic accidents are rapidly increasing, and serious accidents involving serious injury and death are increasing more than those of ordinary people. More than 70% of major accidents occur in drowsy driving. Therefore, in this paper, we studied the drowsiness prevention system to prevent large-scale disasters of traffic accidents. In this paper, we propose a real-time flicker recognition method for drowsy driving detection system and drowsy recognition according to the increase of carbon dioxide. The drowsy driving detection system applied the existing image detection and the deep running, and the carbon dioxide detection was developed based on the IoT. The drowsy prevention system using both of these techniques improved the accuracy compared to the existing products.

• Digital Contents
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• no.8 s.123
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• pp.22-23
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• 2003

한국어 교육 콘텐츠 '스즈키가의 한국어 대모험' 일본 진출, PDA 전시가이드 솔루션 독일 괴테하우스 상용서비스 등 해외에서 더 인정받는 기업 멀티화인테크(www.mft.co.kr). "스즈키가의 한국어 대모험을 제작하기까지 8억원을 투자하는 등 기술 및 콘텐츠 개발에 투자를 아끼지 않고 보낸 5년이다. 투자비를 벌기 위해 EBS, 대한교과서, YMCA 등으로부터 의뢰받은 콘텐츠를 만들어야 했다. 60%는 외주용역 콘텐츠 제작에, 40%는 자체 브랜드 개발을 위한 개발에 밤샘을 마다하지 않았던 시간이다." 현재 동국대 영상제작과 교수이기도 한 멀티화인테크의 김재봉(42) 사장은 "비지니스보다 강단에서 학생들을 가르치는 것이 더 좋겠다고 생각한 적이 있는데, 투자에 대한 결과가 눈에 보이는 요즘은 시간이 어떻게 가는 줄 모르겠다"며 사업 재미에 푹 빠져 있다고 말한다.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.568-571
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• 2005

This research results can be used in games or animation application programs that need special effects and can be used as education software in undergraduate or graduate courses. If we use this results effectively in application programs, we can expect no small ripple effect on growing entertainment industry because special effects enhance audience's interest in games, films, and amusements.

• Proceedings of the ESK Conference
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• 1997.10a
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• pp.487-497
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• 1997

본 연구는 F-16 Simulator에서 모의비행하는 조종사를 그 대상으로 하였고 피실험자의 시역에서 물체에 대한 상대적인 눈의 움직임을 분석하고영상처리기법을 사용하는 EL-MAR의 eye-tracking system을 사용하여비행시 cross-check 하는 좆ㅇ사의 준 위치를 정확히 측정하고 안구움직임의 특성을 파악하였다. 비행상황을 정상상황, 비상상황으로 나누고 조종사는 숙련급, 비숙련금조종사로 구분하여측정, 분석하였다. 정상비행상황에서는 숙련급조종사가 비숙련급조 종사보다 계기에 머문시간은 짧고 계기의 관찰횟수는 많았으며 비상비행상황에서는 두 그룹의 조종사가 중점적으로 보는 계기가 달랐다. 조종사들이 많이 관찰하는 계기를 살펴보면, 계기에 머문시간에서는 HSI-ADI-ASI-ALT순으로 나타났고 계기의 관찰횟수에서는 ADI-HSI-ASI-ALT순으로 나타났다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3C
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• pp.271-278
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• 2006

Rate-constrained coding is one of the many coding-efficiency oriented tools of H.264/AVC, but mode decision process of RDO(Rate distortion optimization) requires high computational complexity. Many fast mode decision algorithms have been proposed to reduce the computational complexity of mode decision. In this paper, we propose two algorithms for reduction of mode decision in H.264/AVC, which are the fast reference frame selection and selective intra prediction mode decision. Fast reference frame selection is efficient for inter predication and selective intra prediction mode decision can effectively reduce excessive calculation load of intra prediction mode decision. The simulation results showed that the proposed methods could reduce the encoding time of the overall sequences by 44.63% on average without any noticeable degradation of the coding efficiency.

• Journal of Digital Contents Society
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• v.17 no.4
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• pp.219-226
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• 2016

In our general life, what we recognize information with our human eyes and use it is diverse and massive. But even the current technologies improved by artificial intelligence are exorbitantly deficient comparing to human visual processing ability. Nevertheless, many researchers are trying to get information in everyday life, especially concentrate effort on recognizing information consisted of text. In the fields of recognizing text, to extract the text from the general document is used in some information processing fields, but to extract and recognize the text from real image is deficient too much yet. It is because the real images have many properties like color, size, orientation and something in common. In this paper, we applies an adaptive edge enhanced MSER(Maximally Stable Extremal Regions) to extract the text area in those diverse environments and the scene text, and show that the proposed method is a comparatively nice method with experiments.

• Journal of Korea Multimedia Society
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• v.10 no.2
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• pp.209-217
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• 2007

This paper proposed to a detection scheme of weather information that is a part of CCTV Images Weather Detection System using CCTV images and Temperature, Humidity. The previous Partial Weather Detection System uses how to acquire weather information using images on the Road. In the system the contrast and RGB Values using clear images are gained. This information is distributed a input images to cloud, rain, snow and fog images. That is, this information is compared the snow and the fog images for acquisition more correctness information us ing difference images and binary images. Currently, We use to environment sense system, but we suggest a new Weather Detection Algorithm to detect weather information using CCTV images. Our algorithm is designed simply and systematically to detect and separate special characteristics of images from CCTV images. and using temperature & humidity in formation. This algorithm, there is more complex to implement than how to use DB with high overhead of time and space in the previous system. But our algorithm can be implement with low cost' and can be use the system in real work right away. Also, our algorithm can detect the exact information of weather with adding in formation including temperature, humidity, date, and time. At last, this paper s how the usefulness of our algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.1-4
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• 2019

본 연구에서는 적외선 카메라 기반의 비접촉식 측정 방법을 이용하여 동공 반응 데이터를 수집하여 공감의 사회감성을 객관적이고 정량적으로 추정하는데 그 목적이 있다. 실험에는 10명(남 6명, 여 4명, M ± SD = 24.17 ± 2.16세)의 피험자가 참여하였다. 30초의 참조 데이터 측정 후, 공감 유무에 따라 과제는 얼굴 표정 모방 과제와 얼굴 표정 자발적 표현 과제로 구분되어 두 사람은 표정으로 상호작용하였고, 2번씩 반복 진행하며 적외선 카메라를 통해 동공을 촬영하였다. 이진화 및 원형 윤곽선 검출법의 영상처리를 활용하여 동공 데이터를 수집하였고, 이동 평균 기법을 활용해 눈깜빡임 노이즈를 제거하고 동공 크기 개인차로 데이터 표준화를 진행하였다. 공감 유무에 따른 동공 크기 데이터는 정규성 검증 및 독립표본 t검정을 통해 통계적 유의성을 확인하였다. 분석결과, 공감하는 경우(M ± SD = 0.508 ± 1.278)와 공감하지 않은 경우(M ± SD = 1.681 ± 0.968) 동공 크기가 통계적으로 유의미한 차이를 보였다(t(18) = -2.313, p = 0.033). 판별분석을 통해 동공 크기에 따른 공감의 유무를 추정하는 규칙을 정의하였다. 본 연구에서 제안한 동공 크기 데이터를 이용한 공감의 사회감성 추정 기술은 비접촉식 카메라 기반의 기술로 스마트 글래스와 접목되어 다양한 분야에 활용도가 높을 것으로 기대된다.