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RISS 인기검색어
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- 저자 : 손영욱(Sohn Young Wook) (검색결과 2 건)
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비정형성 등속운동 객체의 움직임 추정을 위한 블록기반 움직임 평활화
손영욱(Young Wook Sohn),강문기(Moon Gi Kang) 대한전자공학회 2007 電子工學會論文誌-SP (Signal processing) Vol.44 No.6
블록 기반 프레임 레이트 변환 (frame-rate conversion) 또는 필름 떨림 보상 (film judder compensation)을 수행하기 위해서는 참 움직임 벡터(true motion vector)를 찾아야 한다. 이를 위해서 현재 블록의 공간적 및 시간적 상관성을 최대로 하여 시각적으로 덜 부자연스럽게 느끼도록 하는 방법들이 연구되었다. 그러나 기존의 블록단위 절대값 차이의 합 (SAD)만으로는 비정형성 객체의 움직임 에러를 추정할 수 없었다. 본 논문에서는 비정형성 객체가 등속운동을 하는 경우 재귀적으로 기존의 움직임을 유지하도록 하는 방법을 제안하였다. 현재 블록의 등속움직임 추정값을 재귀평균으로 구하였으며, 현재 블록 벡터의 신뢰도를 계산하여 원래의 움직임 벡터와 재귀평균 움직임 벡터중에서 가중치를 두도록 하였다. 실험결과 비정형성 등속운동 객체의 움직임을 블록기반으로 추정함을 확인할 수 있었다. True motion estimation is necessary for deinterlacing, frame-rate conversion, and film judder compensation. There have been several block-based approaches to find true motion vectors by tracing minimum sum-of-absolute-difference (SAD) values by considering spatial and temporal consistency. However, the algorithms cannot find robust motion vectors when the texture of objects is changed. To find the robust motion vectors in the region, a recursive vector selection scheme and an adaptive weighting parameter are proposed. Previous frame vectors are recursively averaged to be utilized for motion error region. The weighting parameter controls fidelity to input vectors and the recursively averaged ones, where the input vectors come from the conventional estimators. If the input vectors are not reliable, then the mean vectors of the previous frame are used for temporal consistency. Experimental results show more robust motion vectors than those of the conventional methods in time-varying texture objects.
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성덕현(Seong Deok Hyun),정의승(Jung Eui S),손영욱(Sohn Young Wook) 한국퍼실리티매니지먼트학회 2001 한국퍼실리티매니지먼트학회지 Vol.3 No.1
Many studies have been conducted for the plant layout using the systematic layout planning approach. However, little concern was given to the office layout when compared to the plant layout. In this research, a systematic approach to the office layout and its application to A-company were described. The whole process of generating an office layout is called here an office layout planning. To do an office layout planning, a survey was made to obtain basic raw data about the job and behavioral characteristics of white-collar employees at the office. The data were then clustered using the cluster analysis. It is known, in general, that four types of layout are preferred by the office workers according to the job and behavioral characteristics. Next, a relationship diagram was drawn between the departments of the company. The relationship was represented as symbols such as A, E, I, O, U, and X, as suggested by Murther(1974). The diagram was used to create a layout among the departments, in which the stronger the relationship the closer the departments. Thirdly, a set of basic modules was produced, which governs the size of the furniture and the basic layout of the unit team in an office. Four distinct types of office modules according to the job and behavioral characteristics were proposed out of the set of basic modules. Finally, each department was allocated to the floor according to the relationships among them. Several alternative layouts were generated and then subsequently evaluated based on their weighted Manhattan distances. Application of the proposed method to A-company showed that the systematic approach greatly improved the level of satisfaction of the office workers.
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