• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.390-393
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• 2012

H.264/AVC에서 움직임 추정에 소요되는 시간을 줄이면서 보다 나은 화질을 유지하기 위하여 본 논문에서는 정화소 움직임 추정 기법을 제안하였다. 본 논문에서는 정화소 움직임 추정을 위하여 대칭적인 탐색패턴을 이용한 계층적인 탐색 기법을 사용하였다. 제안한 정화소 움직임 추정 탐색 기법은 십자가 탐색 패턴, 다중 사각형 탐색 패턴, 작은 사각형 탐색 패턴, 다이아몬드 탐색 패턴들로 이루어져 있다. 제안한 움직임 추정 탐색 기법에서 사용한 탐색 패턴들은 블록 움직임이 수직으로 크거나 블록 움직임이 크면서 규칙적인 영상에서 국부적 최소화 문제를 해결하고 움직임 추정에 소요되는 시간을 줄이기 위하여 탐색 영역 내에 탐색 점들을 규칙적, 대칭적으로 배치하였다. 제안한 기법의 성능을 전역 탐색 기법의 성능과 비교하였을 때 움직임 추정에 소요되는 시간에 있어서 약 4~5.5 배의 속도 향상을 가져왔으며, 영상 화질에 있어서 전역 탐색 기법의 화질과 같거나 약간의 화질 저화를 보였다. 반면에, 비대칭 다중 육각형 탐색 기법의 성능과 비교하였을 때 움직임 추정 속도면에 있어서 약간의 성능 향상과 화질에 있어서 비슷하거나 최대 0.05 (dB)정도 향상을 보였다.

• Therapeutic Science for Rehabilitation
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• v.6 no.1
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• pp.35-43
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• 2017

Objective : To identify the effect of symmetrical and asymmetric bilateral training For stroke patients in upper extremity recovery. Methods : 15 patients with stroke, randomized to an in- phase group(n =7) and anti-phase group(n =8). Each groups received symmetrical and asymmetric bilateral training, 30-min sessions per a day for 5 weeks, total 20 session.Accelerometer was used to evaluate the amount used for both groups. Y-BAT was used to evaluate performance status and satisfaction, ARAT was used to evaluate hand function. Results : the amount used of symmetrical movement training showed significant changes in affected and unaffected side. asymmetric bilateral training. there is a significant difference in affected side before and after receiving asymmetric bilateral training. Also, There was a significant difference between the groups on the affected side. Both training, there was no significant difference in performance, satisfaction, and upper limb function between group but, there was significant differences within-groups, Conclusions : Symmetric training showed higher motor performance than asymmetric training, but, To obtain a clearer difference, it would be necessary to use a neuromuscular assessment tool such as fMRI. Also, need a clearer training protocol and the need for follow-up studies on more stroke patients is suggested.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.35-42
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• 2010

Side information generation techniques play a great role in determining the overall performance of the DVC (Distributed Video Coding) coding system. Most conventional techniques for side information generation are mainly based on the block matching algorithm with symmetric motion estimation between the previously reconstructed key frames. But, these techniques tend to show mismatches between the motion vectors and the real placements of moving objects. So these techniques need to be modified so as to search well the real placements of moving objects. To overcome this problem, this paper proposes a block-centered symmetric motion estimation technique which uses the same coordinates with the given block. Through computer simulations, it is shown that the proposed algorithm outperforms the conventional schemes in the objective quality.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.329-336
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• 2017

In video compression, Motion Estimation(ME) limits the performance of image quality and generated bit rates. However, it requires much complexity in the encoder part. Multi-view video uses many cameras at different positions. Multi-view video coding needs huge computational complexity in proportion to the number of the cameras. To reduce computational complexity and maintain the image quality, an effective motion estimation method is proposed in this paper. The proposed method exploiting the characteristics of motion vector distribution and the motion of video. The proposed is a kind of a hierarchical search strategy. This strategy consists of multi-grid rhombus pattern, diagonal pattern, rectangle pattern, and refinement pattern. Experiment results show that the complexity reduction of the proposed method over TZ search method and PBS (Pel Block Search) on JMVC (Joint Multiview Video Coding) can be up to 40~75% and 98% respectively while maintaining similar video image quality and generated bit rates.

• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.123-130
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• 2009

Motion estimation (ME) plays an important role in digital video compression. But it limits the performance of image quality and encoding speed and is computational demanding part of the encoder. To reduce computational time and maintain the image quality, integer pel and fractional pel ME methods are proposed in this paper. The proposed method for integer pel ME uses a hierarchical search strategy. This strategy method consists of symmetrical cross-X pattern, multi square grid pattern, diamond patterns. These search patterns places search points symmetrically and evenly that can cover the overall search area not to fall into the local minimum and to reduce the computational time. The proposed method for fractional pel uses full search pattern, center biased fractional pel search pattern and the proposed search pattern. According to block sizes, the proposed method for fractional pel decides the search pattern adaptively. Experiment results show that the speedup improvement of the proposed method over Unsymmetrical cross Multi Hexagon grid Search (UMHexagonS) and Full Search (FS) can be up to around $1.2{\sim}5.2$ times faster. Compared to image quality of FS, the proposed method shows an average PSNR drop of 0.01 dB while showing an average PSNR gain of 0.02 dB in comparison to that of UMHexagonS.

• Journal of Broadcast Engineering
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• v.14 no.1
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• pp.59-69
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• 2009

A bi-directional symmetric prediction technique has been developed to improve coding efficiency of B-slice and to reduce the computational complexity required to estimate two motion vectors. On the contrary to the conventional bi-directional mode which encodes both forward and backward motion vectors, it only encodes a single forward motion vector, and the missing backward motion vector is derived in a symmetric way from the forward motion vector using temporal distance between forward/backward reference frames to and from the current B picture. Since the backward motion vector is derived from the forward motion vector, it can halve the computational complexity for motion estimation, and also reduces motion vector data to encode. This technique always derives the backward motion vector from the forward motion vector, however, there are cases when the forward motion vector is better to be derived from the backward motion vector especially in scene changes. In this paper, we generalize the idea of the symmetric coding with forward motion vector coding, and propose a new symmetric coding with backward motion vector coding and adaptive selection between the conventional symmetric mode and the proposed symmetric mode based on rate-distortion optimization.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.7
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• pp.495-502
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• 2013

Motion estimation (ME) that limits the performance of image quality and encoding speed has been developed to reduce temporal redundancy in video sequences and plays an important role in digital video compression. But it is computational demanding part of the encoder. Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. ME for Multi-view video requires high computational complexity. To reduce computational complexity and maintain the image quality, a fast motion estimation method is proposed in this paper. The proposed method uses a hierarchical search strategy. This strategy method consists of modified diamond search patten, multi gird diamond search pattern, and raster search pattern. These search patterns place search points symmetrically and evenly that can cover the overall search area not to fall into the local minimum or exploits the characteristics of the distribution of motion vectors to place the search points. Experiment results show that the speedup improvement of the proposed method over TZ search method (JMVC) can be up to 1.2 ~3 times faster while maintaining similar video quality and bit rates.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.2
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• pp.7-14
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• 2002

This paper proposes a camera motion estimation technique using special relations of motion vectors of geometrically symmetrical triple points of two consecutive views of single camera. The proposed technique uses camera-induced motion vectors and their relations other than feature points and epioplar constraints. As contrast to the time consuming iterations or numerical methods in the calculation of E-matrix or F-matrix induced by epipolar constraints, the proposed technique calculates camera motion parameters such as panning, tilting, rolling, and zooming at once by applying the proposed linear equation sets to the motion vectors. And by devised background discriminants, it effectively reflects only the background region into the calculation of motion parameters, thus making the calculation more accurate and fast enough to accommodate MPEG-4 requirements. Experimental results on various types of sequences show the validity and the broad applicability of the proposed technique.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.1-8
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• 2012

Video FRUC (Frame Rate Up Conversion) has been a technique of great interest due to its diversified applications in consumer electronics. Most advanced FRUC algorithms adopt a motion interpolation technique to determine the motion vector field of interpolated frames. But, in some applications, it is necessary to evaluate how well the MCI (Motion Compensated Interpolation) frame is reconstructed. For this aim, this paper proposes a distortion estimation for motion compensated interpolation frame using frame-adaptive distortion estimation. The proposed method is applied for the symmetric motion estimation and compensated scheme and then analyzed by three different approaches, that is, forward estimation, backward estimation and adaptive bi-directional estimation schemes. Through computer simulations, it is shown that the proposed bi-directional estimation method outperforms others and can be effectively applied for FRUC.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.2
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• pp.35-44
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• 2002

The translation and the rotation of camera occur global motion which affects all over the frame in video sequence. With the video sequences containing global motion, it is practically impossible to extract exact video objects and to calculate genuine object motions. Therefore, high compression ratio cannot be achieved due to the large motion vectors. This problem can be solved when the global motion compensated frames are used. The existing camera motion estimation methods for global motion compensation have a large amount of computations in common. In this paper, we propose a simple global motion estimation algorithm that consists of linear equations without any repetition. The algorithm uses information .of symmetric points in the frame of the video sequence. The discriminant conditions to distinguish regions belonging to distant view from foreground in the frame are presented. Only for the distant view satisfying the discriminant conditions, the linear equations for the panning, tilting, and zooming parameters are applied. From the experimental results using the MPEG test sequences, we can confirm that the proposed algorithm estimates correct global motion parameters. Moreover the real-time capability of the proposed technique can be applicable to many MPEG-4 and MPEG-7 related areas.