• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.429-432
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• 2000

We propose a new frame rate up-conversion algorithm for high quality video. In the proposed scheme bidirectional motion estimation (ME) is performed to construct the motion vector. (MV) field for the frame to be interpolated. Unlike conventional motion-compensated interpolation (MCI) algorithms, the proposed technique does not produce any overlapped pixel and hole region in the interpolated frame, and thus can utilize the overlapped block motion compensation technique to reduce the blocking artifacts. The proposed algoritm is very simple to implement on consumer products when compared to conventional MCI methods. Computer simulation shows a high visual performance of the proposed frame rate up-conversion algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.262-265
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• 2012

In this paper we propose a new deinterlacing method with block classification and motion vector smoothing. The proposed method classifies a block, then depending on the region it belongs to, the motion estimation or line averaging is applied. To classify a block its variance is calculated. Then, for those blocks that belong to simple non-texture region the line averaging is done while motion estimation is applied to complex region. The motion vector field is smoothed using median filter what yields more accurate interpolation. In the experiments for the subjective evaluation, the proposed method bas shown satisfying results in terms of computation time consumption and peak signal-to-noise ratio. Due to the simplicity of the algorithm computation time was drastically decreased.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.245-247
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• 1999

본 논문은 MPEG-2 TM 5 비디오 부호기의 움직임 예측(motion estimation) 처리과정을 소개한다. 비디오에는 공간의 중복성보다 시간의 중복성이 훨씬 많다. 따라서 시간의 중복성을 찾아내는 것이 압축의 효율을 높이는 중요한 척도가 된다. MPEG-2 부호기는 움직임 예측 알고리즘을 사용하여 시간의 중복성을 줄여 압축 효율을 높인다. 움직임 예측은 참조 블록의 위치로부터 원래 블록의 위치를 추정하여 최적의 움직임 벡터를 찾는 과정이다. PMEG-2에서의 움직임 예측은 full search 알고리즘을 사용하여 마지막으로 hlaf pel로 산출한다. 본 논문에서는 MPEG-2 움직임 예측 과정을 frame estimation, field estimation, picture 타입에 따른 estimation, 움직임 예측을 위한 블록 매칭 알고리즘, full search 방법 및 움직임 벡터에 대하여 소개한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.2
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• pp.70-78
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• 2011

The paper aims at developing a more reliable and accurate BWIM(Bridge Weigh-In-Motion) algorithm using measured strain data and examining its efficiency with various tests on bridges. It proposes a BWIM algorithm using density estimation function and average modification factor for moment-strain relationship. Density estimation function has been proved to be reliably applied when multiple axle loads are estimated. An average modification factor is applied to minimize overall error that can be encountered between theoretically computed moments and measured strains at multiple locations in a bridge. The developed algorithm has been successfully examined through numerical simulations, laboratory tests, and also by field tests on a multi-girder composite bridge.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.2
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• pp.81-87
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• 1999

In this research, we propose a field mismatch compensation method for interlaced scan image and a image restoration technique for removing motion blur. In order to compensate field mismatch, the edge classification-based linear interpolation technique and the method using the object-based motion compensation are described. We also propose an edge estimation method and an motion-based image segmentation algorithm. For removing motion blur, we adopt an adaptive iterative image restoration method using the motion-based segmentation result to improve the quality of restored image.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.9A
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• pp.2333-2344
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• 1998

We present a two step approach for estimating the motionand sturcture parameters from region orrespondences in two frames. Given four or more region corresondences on the same planar surface, the motion and planar orientation parameters are first linearly estimated based on second-order approximation of the displacement field of the image plane. Then, using this linear estimate as an initial guess, a nonlinear estimate is obtained by iteratively minimizing an objective function using the exact experession of the displacement field. The objective function involves the centroids of corresponding regions and relationships among low-order moments. Through simulations, we show that the two-step region-based approach gives robust estimates. The performance of nonlinear region-based estimation is compared with that of linear region-based and point-based methods. Experimental results for two image pairs, on esynthetic and one real, ar epresented to show the practical applicability of our approach.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.873-876
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• 2000

본 논문에서는 양방향 움직임 보상에 의한 필드 보간(bi-directional motion-compensated field interpolation) 방법을 사용한 효과적인 디인터레이싱(de-interlacing) 기법을 제안한다. 움직임 추정(motion estimation)을 이용한 일반적인 디인터레이싱 기법은 서로 다른 샘플링 격자(sampling grid) 관계인 연속한 두 필드(field)들간의 움직임 추정을 위해 line average 같은 비교적 간단한 형태의 디인터레이싱 기법이 선행된다. 그러나, 제안한 방법은 보간할 필드(the interpolated field)의 전후 필드들의 같은 샘플링 관계인 존재하는 스캔 라인(the existing scan line)들 사이에서만 움직임 추정이 이루어지므로 구현이 용이하다. 이때 구해진 움직임 벡터는 양방향 움직임 추정을 위한 초기 값으로 사용되어 진다. 제안한 알고리듬은 기존의 움직임 정보를 이용한 기법에 비해 구현이 용이하며, 카메라 움직임이 있는 panning, zooming 영상에 특히 효율적이다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.74-81
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• 2007

In this paper, an efficient SAD(Sum of Absolute Differences) processor structure for motion estimation of H.264 is proposed. SAD processors are commonly used both in full search methods for motion estimation and in fast search methods for motion estimation. Proposed structure consists of SAD calculator block, combinator block, and minimum value calculator block. Especially, proposed structure is simplified by using Distributed Arithmetic for addition operation. The Verilog-HDL(Hard Description Language) coding and FPGA(Field Programmable Gate Array) implementation results for the proposed structure show 39% and 32% gate count reduction in comparison with those of the conventional structure, respectively. Due to its efficient processing scheme, the proposed SAD processor structure can be widely used in size dominant H.264 chip.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.10
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• pp.2448-2463
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• 2013

The traditional block-based motion compensation methods in frame rate up-conversion (FRUC) only use a single uniquely motion vector field. However, there will always be some mistakes in the motion vector field whether the advanced motion estimation (ME) and motion vector analysis (MA) algorithms are performed or not. Once the motion vector field has many mistakes, the quality of the interpolated frame is severely affected. In order to solve the problem, this paper proposes a novel joint overlapped block motion compensation method (8J-OBMC) which adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly interpolate the target block. Since the smoothness of motion filed makes the motion vectors of 8-neighbor blocks around the interpolated block quite close to the true motion vector of the interpolated block, the proposed compensation algorithm has the better fault-tolerant capability than traditional ones. Besides, the annoying blocking artifacts can also be effectively suppressed by using overlapped blocks. Experimental results show that the proposed method is not only robust to motion vectors estimated wrongly, but also can to reduce blocking artifacts in comparison with existing popular compensation methods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.322-331
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• 2003

Advances of high-definition television(HDTV) and personal computers call for the mutual conversion between interlaced signal and progressive signal. Especially, deinterlacing which is known as an interlaced to progressive conversion has been recently required and investigated. In this paper, we propose new deinterlacing algorithm considering sub-pixel motion information. In order to reduce the error of motion estimation, we analyze the effect of inaccurate sub-pixel motion information and model it as zero-mean Gaussian noises added respectively to each low resolution image(field). The error caused by inaccurate motion information is reduced by determining regularization parameter according to the error of motion estimation in each channel. The validity of the proposed algorithm is demonstrated both theoretically and experimentally in this paper.