• Title/Summary/Keyword: Motion Compensation

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Frame Rate Conversion Using the Bi-directional motion estimation/compensation in the High-Resolution Video (고해상도 비디오에서 양방향 움직임 추정/보상을 이용한 프레임 레이트 변환 방법)

  • Kim, So-Ra;Kim, Yoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.07a
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    • pp.268-271
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    • 2015
  • 본 논문에서는 고해상도 비디오를 위한 프레임 레이트 변환 방법을 제시한다. 서로 다른 방식이나 포맷을 가진 영상 신호를 변환할 때에는 시각적으로 거슬리는 움직임 지터(motion jitter)나 영상의 모서리에서의 블러링(blurring) 현상이 일어날 수 있다. 제시하는 방법에서는 이러한 문제점을 해결하기 위해 양방향 움직임 추정/보상을 이용하여 프레임 레이트를 증가 변환한다. 또한 보다 정확한 움직임 벡터를 찾기 위해 다중 프레임을 통한 양방향 탐색 방법을 제안한다. 먼저, 픽셀 값을 알고 있는 현재 프레임과 이전 프레임간의 움직임 벡터를 이용하여 양방향 움직임 벡터를 얻는다. 얻은 움직임 벡터는 벡터 스무딩 블록을 거친다. 그 후 OBMC(Overlapped Block Motion Compensation)를 이용하여 보간 프레임을 구성한다. 실험 결과는 기존 방법들보다 제안 방법이 주관적 화질 면에서 우수함을 나타낸다.

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Motion Compensated Deinterlacing with Variable Block Sizes

  • Kim, In-Ho;Lee, Chul-Hee
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.469-472
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    • 2005
  • In this paper, we propose a new deinterlacing algorithm based on motion estimation and compensation with variable block size. Motion compensated methods using a fixed block size tend to produce undesirable artifacts when there exist complicated motion and high frequency components. In the proposed algorithm, the initial block size of motion estimation is determined based on the existence of global motion. Then, the block is divided depending on block characteristics. Since motion compensated deinterlacing may not always provide satisfactory results, the proposed method also use an intrafield spatial deinterlacing. Experimental results show that the proposed method provides noticeable improvements compared to motion compensated deinterlacing with a fixed block size.

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Modeling and Synchronizing Motion Control of Twin-servo System

  • Kim, Bong-Keun;Chung, Wan-Kyun;Lee, Kyo-Beum;Song, Joong-Ho;Ick Choy
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.302-305
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    • 1999
  • Twin-servo mechanism is used to increase the payload capacity and speed of high precision motion control system. In this paper, we propose a robust synchronizing motion control algorithm to cancel out the skew motion of twin-servo system caused by different dynamic characteristics of two driving systems and the vibration generated by high accelerating and decelerating motions. This proposed control algorithm consists of separate feedback motion control algorithm of each driving system and skew motion compensation algorithm between two systems. Robust model reference tracking controller is proposed as a separate motion controller and its disturbance attenuation property is shown. For the synchronizing motion, skew motion compensation algorithm is designed, and the stability of whole Closed loop system is proved based on passivity theory.

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Motion Blur reduction based on Motion Compensation

  • Park, Jae-Hyeung;Kim, Yun-Jae;Park, Min-Kyu;Amino, Tadashi;Oh, Jae-Ho;Kim, Nam-Deog;Kim, Sang-Soo
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08a
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    • pp.413-416
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    • 2007
  • Motion-estimation/motion-compensation (ME/MC) provides superior motion picture quality but its huge computation load results in high cost. Impulsive driving is a cost-effective solution but it suffers from large flicker and brightness loss. Motion compensated impulsive driving technology has been developed to achieve high motion picture quality in a cost-effective implementation by combining ME/MC and impulsive driving. The key idea is to apply ME/MC or impulsive driving selectively according to the motion vector distribution of the incoming image sequence. In this paper, the description of the algorithm and the experimental results are provided.

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Development of a High-Performance Vehicle Imaging Information System for an Efficient Vehicle Imaging Stabilization (효율적인 차량 영상 안정화를 위한 고성능 차량 영상 정보 시스템 개발)

  • Hong, Sung-Il;Lin, Chi-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.6
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    • pp.78-86
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    • 2013
  • In this paper, we propose design of a high-performance vehicle imaging information system for an efficient vehicle imaging stabilization. The proposed system was designed the algorithm by divided as motion estimation and motion compensation. The motion estimation were configured as local motion vector estimation and irregular local motion vector detection, global motion vector estimation. The motion compensation was corrected for the four directions for compensate to the shake of vehicle video image using estimate GMV. The designed algorithm were designed the motion compensation technology chip by applied to IP for vehicle imaging stabilization. In this paper, the experimental results of the proposed vehicle imaging information system were proved to the effectiveness by compared with other methods, because imaging stabilization of moving vehicle was not used of memory by processing real-time. Also, it could be obtained to reduction effect of calculation time by arithmetic operation through to block matching.

Object-oriented coder using block-based motion vectors and residual image compensation (블러기반 움직임 벡터와 오차 영상 보상을 이용한 물체지향 부호화기)

  • 조대성;박래홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.3
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    • pp.96-108
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    • 1996
  • In this paper, we propose an object-oriented coding method in low bit-rate channels using block-based motion vectors and residual image compensation. First, we use a 2-stage algorithm for estimating motion parameters. In the first stage, coarse motion parameters are estimated by fitting block-based motion vectors and in the second stage, the estimated motion parametes are refined by the gradient method using an image reconstructed by motion vectors detected in the first stage. Local error of a 6-parameter model is compensted by blockwise motion parameter correction using residual image. Finally, model failure (MF) region is reconstructed by a fractal mapping method. Computer simulation resutls show that the proposed method gives better performance than the conventional ones in terms of th epeak signal to noise ratio (PSNR) and compression ratio (CR).

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De-interlacing Algorithm Using Integral Projection-based Motion Estimation Considering Region Of Interest (관심영역 단위의 적분 프로젝션기반 움직임 추정을 사용한 순차주사화 알고리즘)

  • Kim, Young-Duk;Chang, Joon-Young;Kang, Moon-Gi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.3
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    • pp.20-29
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    • 2008
  • In this paper, we propose a do-interlacing algorithm using integral projection-based motion estimation considering Region Of Interest(ROI). The proposed motion estimation method finds the motion of the given ROI accurately with low computational cost. In order to incorporate the motion estimation in do-interlacing, an entire image is first segmented into multiple ROIs according to the temporally predicted block-wise motion types and spatial positions. Then, motion vectors of respective ROIs are obtained by the integral projection method. In this paper, totally five ROIs, one for the global motion and four for the local motions, are made, and therefore, five motion vectors are produced for each field. By using the estimated motion vectors, motion compensation is performed for increasing the vortical resolution of the converted frames. Finally, do-interlaced frames are obtained by effectively combining the results of motion compensation and stable intra-field do-interlacing according to the reliability of motion compensation. Experimental results show that the proposed algorithm provides better image quality than existing algorithms in both subjective and objective measures.

Field Mismatch Compensation and Motion Blur Reduction System for Moving Images (동영상의 필드불일치 보정 및 움직임열화 제거 시스템 개발)

  • Choung, Yoo-Chan;Paik, Joon-Ki
    • 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.

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Lattice-Based Background Motion Compensation for Detection of Moving Objects with a Single Moving Camera (이동하는 단안 카메라 환경에서 이동물체 검출을 위한 격자 기반 배경 움직임 보상방법)

  • Myung, Yunseok;Kim, Gyeonghwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.52-54
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    • 2015
  • In this paper we propose a new background motion compensation method which can be applicable to moving object detection with a moving monocular camera. To estimate the background motion, a series of image warpings are carried out for each pair of the corresponding patches, defined by the fixed-size lattice, based on the motion information extracted from the feature points surrounded by the patches and the estimated camera motion. Experiment results proved that the proposed has approximately 50% faster in execution time and 8dB higher in PSNR comparing to a conventional method.

Blocking Artifacts Detection in Frequency Domain for Frame Rate Up-conversion (프레임율 변환을 위한 주파수 영역에서의 블로킹 현상 검출)

  • Kim, Nam-Uk;Jun, Dongsan;Lee, Jinho;Lee, Yung-Lyul
    • Journal of Broadcast Engineering
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    • v.21 no.4
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    • pp.472-483
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    • 2016
  • This paper proposes a blocking artifacts detection algorithm in frequency domain for MC-FRUC (Motion Compensated Frame Rate Up-Conversion). Conventional MC-FRUC algorithms occur blocking artifacts near interpolated block boundaries since motion compensation is performed from block-based motion vector. For efficiently decreasing blocking artifacts, this paper analyses frequency characteristics of the interpolated frame and reduces blocking artifacts on block boundaries. In experimental results the proposed method shows better subjective quality than some conventional FRUC method and also increases the PSNR(Peak Signal to Noise Ratio) value on average 0.45 dB compared with BDMC(Bi-Directional Motion Compensation).