• 한국게임학회 논문지
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• 제17권4호
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• pp.129-136
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• 2017

최근 들어 한국의 영상산업은 급속히 발전해왔으며 성장속도와 추세가 가장 강한 산업으로 부상 되고 있다. 한국영상산업의 성장은 정치, 경제에도 유리하게 촉진한다. 중국이 지리적으로 한국과 가까운 나라로서 한국의 영상산업의 급성장을 보고 많은 소중한 경험을 배울 수 있을 것이라고 생각한다. 이 논문은 한국의 영상산업 급성장의 원인에 대한 분석을 통하여 중국의 영상산업에 대해 살펴보고 중국의 영상산업 발전에 유용한 의견과 제안을 연구해 보았다.

• 한국게임학회 논문지
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• 제12권6호
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• pp.47-58
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• 2012

지난 40년간 비디오 게임 산업은 비약적인 발전을 이루었다. 이에 본 연구는 산업조직론을 이론적 분석틀로 이용하여 미국 비디오 게임 산업의 진화를 살펴보았다. 분석 결과 미국 비디오 게임 산업의 시장 구조 및 시장 행위의 역사적 변화를 확인할 수 있었으며, 특히 미국 비디오 게임 산업의 시장구조의 변화와 시장행위의 변화간에 밀접한 연관이 있는 것으로 나타났다. 이와 같은 결과는 비디오 게임 산업에 대한 경제학적 분석을 실시하는 후속 연구에 기초가 될 것으로 여겨진다.

• 전기학회논문지P
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• 제66권3호
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• pp.135-138
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• 2017

This study analyzed with the case analysis of a series of processes from job analysis survey and results analysis, and academic achievement in order to transform the curriculum of existing courses of the NCS-based video broadcasting. Also this study analysed the existing curriculum and analyzed the trend of workforce trends and needs of the broadcasting content industry. Also through a needs analysis for the industry and alumni and students, video graphics, video editing and video directing were selected. In this paper it dealt mainly with respect to the video graphics in a dual job. Modeling capability into the unit through a job analysis, animation, effects and lighting were chosen accordingly based introduction of graphics and application of graphics were derived two courses and selected profiles and performance criteria. This training according to the NCS curriculum for students was evaluated based on the student's job was to investigate the learning ability.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.13-21
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• 2022

Recently, in wireless video sensor networks(WVSN), various schemes for efficient video data transmission have been studied. In this paper, a layer based cooperative relaying(LCR) algorithm is proposed for minimizing scalable video transmission distortion from packet loss in WVSN. The proposed LCR algorithm consists of two modules. In the first step, a parameter based error propagation metric is proposed to predict the effect of each scalable layer on video quality degradation at low complexity. In the second step, a layer-based cooperative relay algorithm is proposed to minimize distortion due to packet loss using the proposed error propagation metric and channel information of the video sensor node and relay node. In the experiment, the proposed algorithm showed that the improvement of peak signal-to-noise ratio (PSNR) in various channel environments, compared to the previous algorithm(Energy based Cooperative Relaying, ECR) without considering the metric of error propagation.The proposed LCR algorithm minimizes video quality degradation from packet loss using both the channel information of relaying node and the amount of layer based error propagation in scalable video.

• 한국산업융합학회 논문집
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• 제25권4_2호
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• pp.707-714
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• 2022

Versatile Video Coding (VVC) is the most recent video coding standard, which had been developed by Joint Video Expert Team (JVET). It can improve significant coding performance compared to the previous standard, namely High Efficiency Video Coding (HEVC). Although VVC can achieve the powerful coding performance, it requires the tremendous computational complexity of VVC encoder. Especially, affine motion compensation (AMC) was adopted the block-based 4-parameter or 6-parameter affine prediction to overcome the limit of translational motion model while VVC require the cost of higher encoding complexity. In this paper, we proposed the early termination of AMC that determines whether the affine motion estimation for AMC is performed or not. Experimental results showed that the proposed method reduced the encoding complexity of affine motion estimation (AME) up to 16% compared to the VVC Test Model 17 (VTM17).

• 디지털산업정보학회논문지
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• 제8권1호
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• pp.157-170
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• 2012

Recently, user-created video shows high increasing in production and consumption. Among these, videos records an identical subject in limited space with multi-view are coming out. Occurring main reason of this kind of video is popularization of portable camera and mobile web environment. Multi-view has studied in visually representation technique fields for point of view. Definition of multi-view has been expanded and applied to various contents authoring lately. To make user-created videos into multi-view contents can be a kind of suggestion as a user experience for new form of video consumption. In this paper, we show the possibility to make user-created videos into multi-view video content through analyzing multi-view video contents even there exist attribute differentiations. To understanding definition and attribution of multi-view classified and analyzed existing multi-view contents. To solve time axis arranging problem occurred in multi-view processing proposed audio matching method. Audio matching method organize feature extracting and comparing. To extract features is proposed MFCC that is most universally used. Comparing is proposed n by n. We proposed multi-view video contents that can consume arranged user-created video by user selection.

• 디지털산업정보학회논문지
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• 제9권4호
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• pp.167-175
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• 2013

This study is the process of making high-definition TV broadcast color correction affects the end result comparison is focus on implement through study. In the production process and the impact on the color Correction in the video as an study for UHD, 4K, 6K video production workflow improvement of an effective program in the present and time and cost in the post production process, color correction for the final video through the production and overcome the failure of further in-efficient color correction study will help you to solve the problem. This study is the color changes over the course of the final video to see how much influence color correction of post-production. Color correction using a program of courses in Visual quality, regularly presented the possibility to retain and make on high definition video production post-production process for color correction method is utilized as the basis of study.

• 한국인터넷방송통신학회논문지
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• 제17권3호
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• pp.9-21
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• 2017

본 연구에서는 영상보안산업의 현황과 실태를 조사하고, 이에 따른 문제점과 그 개선방안을 제시했다. 연구방법으로 12인의 전문가에게 인터뷰 방식으로 진행했으며, 시장동향, 영상보안산업의 문제점, 개선방안 및 정부추진전략에 대해 조사하였다. 본 연구의 결과, 국내 영상보안산업의 문제점으로 해외 수출 규모 감소 및 중국 수출 둔화 추세 지속, 국가별 인증제도 강화정책으로 인한 인증장벽 극복 방안 미흡, 국내 내수시장 수요 증가율 둔화, 중국 제품의 국내 시장 점유 확대 추세 지속, 국내 제품의 첨단기술 개발부족, 기술개발 및 운영 전문인력 부족, 영상보안산업 활성화를 위한 법제도 미비 등을 제시하였다. 이를 개선 방안으로 수출 확대 지원 정책 추진 필요, 국가별 맞춤형 대응체계구축 필요, 보안 관련 수요 창출 제도 개선 필요, 자국 산업보호 정책, 인증장벽, 관세 장벽 등의 대처 방안 강구, 고부가 가치 창출을 위한 미래 핵심 원천기술 개발 유도, 정부의 적극적인 인력 육성 지원 대책 필요, 관련 법과 제도 안정화 유도를 제시하였다. 본 연구는 영상보안산업 관련 정책수립에 기여 할 것이다.

• 디지털산업정보학회논문지
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• 제12권4호
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• pp.115-121
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• 2016

Recently, it has become an important problem to extract semantic objects from videos, which are useful for improving the performance of video compression and video retrieval. In this thesis, an automatic extraction method of moving objects of interest in video is suggested. We define that an moving object of interest should be relatively large in a frame image and should occur frequently in a scene. The moving object of interest should have different motion from camera motion. Moving object of interest are determined through spatial continuity by the AMOS method and moving histogram. Through experiments with diverse scenes, we found that the proposed method extracted almost all of the objects of interest selected by the user but its precision was 69% because of over-extraction.

• 제어로봇시스템학회논문지
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• 제7권4호
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• pp.304-308
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• 2001

The increase of video data makes the demand of efficient retrieval, storing, and browsing technologies necessary. In this paper, a video segmentation method (scene change detection method, or shot boundary detection method) for the development of such systems is proposed. For abrupt cut detection, inter-frame similarities are computed using luminance and edge histograms and a cut is declared when the similarities are under th predetermined threshold values. A gradual scene change detection is based on the similarities between the current frame and the previous shot boundary frame. A correlation method is used to obtain universal threshold values, which are applied to various video data. Experimental results show that propose method provides 90% precision and 98% recall rates for abrupt cut, and 59% precision and 79% recall rates for gradual change.