• Journal of Broadcast Engineering
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• v.15 no.3
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• pp.355-361
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• 2010

Video Compression is the key technology for the transmission of multi-media data. Because the Motion Estimation is the most complex module in the video compression, fast motion estimation algorithm is essential for the real-time application. In this paper, we propose an enhanced binary motion estimation algorithm based on the wavelet transform. Proposed algorithm improve the quality of coded video.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.3B
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• pp.549-556
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• 2000

In this paper, we propose a new adaptive stereo object tracking system that can be used when the back ground image is complex and the cameras are not fixed . In this method, we used the Block Matching Algorithm to separate the tracking object form the background image and then the optical JTC system is used to obtain the convergence-controlling and pa/tilt-controlling values fro the left and right cameras. the experimental results are found to track the object robustly & adaptively for the object tracking in various background images, and the possibility of real-time implementation of the proposed system by using the optical JTC is also suggested.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2271-2280
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• 1999

In this paper, a variable motion estimation scheme based on HBMA(Hierarchical Block Matching Algorithm) to improve the performance and to reduce heavy computational and transmission load, is presented. The proposed algorithm is composed of four steps. First, block activity for each block is defined using the edge information of differential image between two sequential images, and then average block activity of the present image is found by taking the mean of block activity. Secondly, camera pan compensation is carried out, according to the average activity of the image, in the hierarchical pyramid structure constructed by wavelet transform. Next, the LUT classifying each block into one among Moving, No Moving, Semi-Moving Block according to the block activity compensated camera pan is obtained. Finally, as varying the block size and adaptively selecting the initial search layer and the search range referring to LUT, the proposed variable HBMA can effectively carries out fast motion estimation in the hierarchical pyramid structure. The cost function needed above-mentioned each step is only the block activity defined by the edge information of the differential image in the sequential images.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.346-348
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• 2003

본 논문에서는 얼굴 형태와 유사한 타원체형 모텔의 가변적 블록크기를 기반으로 하는 영상정렬 알고리즘을 제안한다. 실린더형 모델을 사용한 기존의 방법은 블록정합 수행 시 좌우 곡률을 고려하므로 좌우영상은 정확히 정렬하지만 상하 부분은 사람의 두상모양이나 턱 구조와 다르기 때문에 상하 영상을 정렬할 때 오류가 발생한다. 본 논문에서 제안하는 알고리즘은 얼굴 모델의 상하좌우의 곡률에 따라 가변적인 블록크기론 사용하고 영상의 상관관계를 이용하여 정확한 정렬을 할 수 있도록 한다. 그리고 얼굴 텍스쳐영상을 생성하기 위하여 영상 모자익 기법을 사용하며 영상들이 서로 잘 융합하도록 크로스디졸브(Cross dissolve) 기법을 적용하여 영상을 스티칭한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.645-648
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• 2002

본 논문에서는 비디오 압축에 이용되는 블록 기반 움직임 예측을 위하여 육각 패턴을 이용한 블록 정합 알고리즘을 제안한다. 제안하는 알고리즘은 기존의 3$\times$3 패턴을 이용한 BBGDS 알고리즘과 유사하게 계산 속도의 향상과 더불어 좀 더 강인한 움직임 예측을 할 수 있도록 패턴을 설계하였다. 제안하는 알고리즘을 바탕으로 적은 양의 탐색점(Search Point)을 이용하면서 확장된 탐색 영역(Search Area)을 이용할 수 있다. 제안한 알고리즘의 성능과 계산 속도의 향상이 실험 결과로 보여 진다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.561-564
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• 2006

오늘날 컴퓨터와 데이터 통신의 급속한 발달로 인해 멀티미디어 정보통신 기술이 비약적으로 발전하고 있다. 이러한 멀티미디어 데이터 중에서 동영상은 다른 데이터 형태에 비해 정보량이 매우 방대하다. 따라서 동영상을 처리하는 시스템에서는 압축 기법이 매우 중요한 역할을 차지한다. 이에 본 논문은 연속제거 알고리즘을 기반으로 이전블록 초기 움직임 벡터 사용 및 strip단위 블록 합을 통하여 고속의 움직임 추정을 통해 영상을 복호화 하였고, 기존의 완전탐색 블록 정합방식과 영상 복원 능력 및 연산량을 비교 평가하였다. 뿐만 아니라 이후 이를 바탕으로 고속 움직임 추정 모듈을 VHDL로 구현하여 본 논문의 프로그램을 성능평가의 기준으로 이용할 것이다.

• Journal of Korea Multimedia Society
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• v.16 no.2
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• pp.131-137
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• 2013

Zoom motion estimation of video sequence is very complicated for implementation. In this paper, we propose a method to implement the zoom motion estimation using together the depth camera and color camera. Depth camera obtains the distance information between current block and reference block, then zoom ratio between both blocks is calculated from this distance information. As the reference block is appropriately zoomed by the zoom ratio, the motion estimated difference signal can be reduced. Therefore, the proposed method is possible to increase the accuracy of motion estimation with keeping zoom motion estimation complexity not greater. Simulation was to measure the motion estimation accuracy of the proposed method, we can see the motion estimation error was decreased significantly compared to conventional block matching method.

• Journal of Korea Multimedia Society
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• v.7 no.8
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• pp.1025-1034
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• 2004

This paper proposes an adaptive motion estimation algorithm using the temporal continuity of motion. We set up a squared global search region (GSR), which basically corresponds to the search region of FSA, and non-squared adaptive local search regions (LSRs), the positions for which are predicted by the motion vectors of the temporal neighbor blocks, are constructed in the GSR. The previous frame blocks that possibly have effects on the current block are to be the temporal neighbor blocks. Because motion estimation is only performed in the areas made by LSRs, we can estimate motion more correctly and reduce processing time. Experimental results show that the proposed method can enhance visual qualities with significant reductions of complexity by reducing search regions, when compared to the conventional methods.

• Journal of the Korea institute for structural maintenance and inspection
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• v.18 no.2
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• pp.30-37
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• 2014

In this study, we studied how to perform the structural analysis which need a large-capacity flash memory with the computer program when the flash memory storage of a personal computer has no enough room for the analysis of structure. As one of the solutions of this problem, the blocking method of stiffness matrix, which is a method that stiffness matrix is divided by a few blocks and each block is sequentially used for the calculation of matrix decomposition, is proposed and an algorithm available in computer program is derived on the method. Finally, A structural analysis program (sNs) based on this study is developed and the correctness and efficiency of the algorithm is founded through some examples which are fundamental in structural analysis.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.5C
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• pp.487-495
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• 2007

When error occurs during the network transmission of the image, the quality of the restored image is very serious. Therefore to maintain the received image quality, the error concealment technique is necessary. This paper presents an efficient spatial error concealment method using adaptive edge-oriented interpolation. It deals with errors on slice level. The proposed method uses boundary matching method having 2-step processes. We divide error block into external and internal region, adaptively restore each region. Because this method use overall as well as local edge characteristics, it preserves edge continuity and texture feature. The proposed technique reduces the complexity and provide better reconstruction quality for damaged images than the previous methods.