• Title/Summary/Keyword: 프레임간 적응적 연산

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A Fast Distributed Video Decoding by Frame Adaptive Parity Bit Request Estimation (프레임간 적응적 연산을 이용한 패리티 비트의 예측에 의한 고속 분산 복호화)

  • Kim, Man-Jae;Kim, Jin-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.161-162
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    • 2011
  • Recently, many research works are focusing on DVC (Distributed Video Coding) system for low complexity encoder. However the feedback channel-based parity bit control is a major cause of the high decoding time latency. Spatial and temporal correlation is high in video and, therefore, the statistical property can be applied for the parity bit request of LDPCA frame. By introducing frame adaptive parity bit request estimation method, this paper proposes a new method for reducing the decoding time latency. Through computer simulations, it is shown that the proposed method achieves about 80% of complexity reduction, compared to the conventional no-estimation method.

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A Motion Estimation Using Adaptively Expanded Block based on Frame Difference for Frame Interpolation (프레임 보간을 위한 프레임 차이 기한의 적응형 확장 블록 움직임 추정)

  • Kwak, Tong-Ill;Cho, Hwa-Hyun;Yun, Jong-Ho;Hwang, Bo-Hyun;Choi, Myung-Ryul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.8C
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    • pp.598-604
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    • 2008
  • The hold-type display panel such as a liquid crystal displays(LCD) has problem of motion blur. The problem can be improved by a Frame Rate-up Conversion(FRC) using a frame interpolation. We propose a Motion Estimation(ME) by using adaptively expanded block based on frame difference for PRC. The proposed method is executed using an adaptively expanded block in order to get more accurate motion vector. By using frame difference, we can reduce complexity more significantly than conventional methods. We use quantitative analysis in order to evaluate experimental results. The results show that the proposed method has better performance and lower complexity than conventional methods.

Reduction of Computation Algorithm for Adaptive Perceptual Filter Using Enhanced Noise Estimation (향상된 잡음 추정을 이용한 적응 지각필터의 연산량 개선 알고리즘)

  • Seo, Bo-Kug;Cha, Hyung-Tai;Ryu, Il-Hyun;Koo, Kyo-Sik
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2005.11a
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    • pp.264-267
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    • 2005
  • 본 논문에서는 매 프레임 단위로 노이즈를 추정하는 방법을 적용하는 전처리 기법을 이용하여 적응 지각필터의 연산량을 개선하는 알고리즘을 제안한다. 제안된 전처리 잡음 주정 알고리즘은 잡음에 열화 된 대역으로부터 잡음을 추정하여 적응 지각필터에 적용함으로써 연산량 개선과 동시에 오디오 신호의 음질을 개선하는 알고리즘이다. 이는 처리되는 신호 구간에 따라 잡음에 열화 된 대역으로부터 잡음을 추정함으로써 초기 추정 잡음에 보다 가까운 추정 잡음을 얻을 수 있다. 결과적으로 적응 지각필터의 연산량을 효과적으로 줄일 수 있다. 성능 평가를 위하여 지각필터의 적용 결과와 제안한 알고리즘의 적용 결과로 얻어진 개선 신호의 SSNR, NMR의 비교와 적응 지각필터 적용 횟수, 동작 시간 등을 이용하여 성능의 개선을 확인하다.

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Implementation of video structuring system using color and motion information (칼라와 모션 정보를 이용한 비디오 구조화 시스템 구현)

  • 송창준;고한석;권용무
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.11b
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    • pp.123-128
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    • 1999
  • 본 논문에서는 기존에는 샷 경계 검출에 초점을 맞춘 것과는 달리 본 논문에서는 샷 보다 상위레벨인 비디오 씬 추출에 초점을 맞추어 디지털 비디오를 구조화하는 시스템을 제안한다. 샷간의 유사도를 측정하기 위해서 칼라와 모션 특징을 이용하였으며, 비디오 내의 동적 또는 정적 특성을 반영하기 위해서 적응적 가중치를 적용하였다. 칼라 특징을 추출하기 위해서 각 샷의 내부에서 대표 프레임을 추출하였고, 각 샷 내부의 모션 정보는 MPEG 비디오 모션 벡터를 이응해서 추출하였다. 또한, 비디오 씬 분할 시 연산 시간을 줄이기 위한 기법을 제시하였다. 마지막으로 추출된 비디오 씬에 대해서 성능평가를 하였다.

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A Side Information Generation Using Adaptive Estimation and Its Performance Comparison in PDWZ CODEC (화소 영역 Wyner-Ziv코덱에서 적응적 예측을 통한 보조정보 생성 방식과 성능 비교)

  • Kim, Jin-Soo;Kim, Jae-Gon;Seo, Kwang-Deok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.2
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    • pp.383-393
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    • 2010
  • DVC (Distributed Video Coding) allows us to explore the video statistics at the decoder side, resulting in a less complex encoder and more complex decoder. In this approach, it is important to generate a good prediction to the current Wyner-Ziv frame, called side information, which plays a crucial role in the overall performance of a DVC system. Conventional MCFI (motion compensated frame interpolation) techniques, which explore temporal correlations between neighbor frames of the current frame, preform the block-based or object-based motion estimation, but, they do not include the basis frame for the Wyner-Ziv frame. This paper proposes an efficient way to get better side information, by finding the average frame between neighbor frames and by comparing adaptively the candidate blocks. Through computer simulations, it is shown that the proposed method can improve the performance up to 0.4dB and provide better subjective and objective visual qualities in Wyner-Ziv CODEC.

Adaptive Intra Fast Algorithm of H.264 for Video Surveillance (보안 영상 시스템에 적합한 H.264의 적응적 인트라 고속 알고리즘)

  • Jang, Ki-Young;Kim, Eung-Tae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.12C
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    • pp.1055-1061
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    • 2008
  • H.264 is the prominent video coding standard in various applications such as real-time streaming and digital multimedia broadcasting, since it provides enhanced compression performance, error resilience tools, and network adaptation. Compression efficiency of H.264 has been improved, however, it requires more computing and memory access than traditional methods. In this paper we proposed adaptive intra fast algorithm for real-time video surveillance system reducing the encoding complexity of H264/A VC. For this aim, temporal interrelationship between macroblock in the previous and the current frame is used to decide the encoding mode of macroblock fast. As a result, though video quality was deteriorated a little, less than 0.04dB, and bit rate was somewhat increased in suggested method, however, proposed method improved encoding time significantly and, in particular, encoding time of an image with little changes of neighboring background such as surveillance video was more shortened than traditional methods.

An Efficient Adaptive Loop Filter Design for HEVC Encoder (HEVC 부호화기를 위한 효율적인 적응적 루프 필터 설계)

  • Shin, Seung-yong;Park, Seung-yong;Ryoo, Kwang-ki
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.295-298
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    • 2014
  • In this paper, an efficient design of HEVC Adaptive Loop Filter(ALF) for filter coefficients estimation is proposed. The ALF performs Cholesky decomposition of $10{\times}10$ matrix iteratively to estimate filter coefficients. The Cholesky decomposition of the ALF consists of root and division operation which is difficult to implement in a hardware design because it needs to many computation rate and processing time due to floating-point unit operation of large values of the Maximum 30bit in a LCU($64{\times}64$). The proposed hardware architecture is implemented by designing a root operation based on Cholesky decomposition by using multiplexer, subtracter and comparator. In addition, The proposed hardware architecture of efficient and low computation rate is implemented by designing a pipeline architecture using characteristic operation steps of Cholesky decomposition. An implemented hardware is designed using Xilinx ISE 14.3 Vertex-6 XC6VCX240T FPGA device and can support a frame rate of 40 4K Ultra HD($4096{\times}2160$) frames per second at maximum operation frequency 150MHz.

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Adaptive Hierarchical Hexagon Search Using Spatio-temporal Motion Activity (시공간 움직임 활동도를 이용한 적응형 계층 육각 탐색)

  • Kwak, No-Yoon
    • Journal of Digital Contents Society
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    • v.8 no.4
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    • pp.441-449
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    • 2007
  • In video coding, motion estimation is a process to estimate the pixel of the current frame from the reference frame, which affects directly the predictive quality and the encoding time. This paper is related to AHHS(Adaptive Hierarchical Hexagon Search) using spatio-temporal motion activity for fast motion estimation. The proposed method defines the spatio-temporal motion activity of the current macroblock using the motion vectors of its spatio-temporally adjacent macroblocks, and then conventional AHS(Adaptive Hexagon Search) is performed if the spatio-temporal motion activity is lower, otherwise, hierarchical hexagon search is performed on a multi-layered hierarchical space constructed by multiple sub-images with low frequency in wavelet transform. In the paper, based on computer simulation results for multiple video sequences with different motion characteristics, the performance of the proposed method was analysed and assessed in terms of the predictive quality and the computational time. Experimental results indicate that the proposed method is both suitable for (quasi-) stationary and large motion searches. The proposed method could keep the merit of the adaptive hexagon search capable of fast estimating motion vectors and also adaptively reduce the local minima occurred in the video sequences with higher spatio-temporal motion activity.

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Multi-level Motion Estimation Algorithm Using Motion Information in Blocks (블록 내 움직임 정보를 이용한 다단계 움직임 예측 알고리즘)

  • Shin, Dong-Shik;Nam, Dae-Hyun;Ahn, Jae-Hyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10b
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    • pp.863-866
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    • 2000
  • 본 논문에서는 비디오 코딩을 위한 적응적 블록 정합 알고리즘을 제안한다. 제안 알고리즘에서는 블록내의 움직임 정도에 따라 다단계의 블록 레벨을 설정하고, 그 블록 레벨에 따른 각기 다른 다단계의 움직임 예측을 수행한다. 이는 움직임이 적은 영역에서의 불필요한 탐색과정을 제거하여 계산적 효율성을 증대하고, 움직임 정도가 큰 부분으로 갈수록 움직임 예측 과정을 심화 시켜 예측의 정확성을 증가시킨다 본 제안된 방식을 가지고 실험한 결과 한 프레임 당 적은 수의 블록으로 고정된 크기의 블록을 가진 전역 탐색 블록 정합 알고리즘보다 적은 예측 에러를 발생시켜 1dB 정도의 PSNR 개선을 가져왔고 98% 정도의 연산량 절감 효과가 있는 것으로 나타났다.

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A New Motion Compensated Frame Interpolation Algorithm Using Adaptive Motion Estimation (적응적 움직임 추정 기법을 활용하는 새로운 움직임 보상 프레임 보간 알고리즘)

  • Hwang, Inseo;Jung, Ho Sun;Sunwoo, Myung Hoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.6
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    • pp.62-69
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    • 2015
  • In this paper, a new frame rate up conversion (FRUC) algorithm using adaptive motion estimation (AME-FRUC) is proposed. The proposed algorithm performs extended bilateral motion estimation (EBME) conducts motion estimation (ME) processes on the static region, and extract region of interest with the motion vector (MV). In the region of interest block, the proposed AME-FRUC uses the texture block partitioning scheme and the unilateral motion estimation for improving ME accuracy. Finally, motion compensated frame interpolation (MCFI) are adopted to interpolate the intermediate frame in which MCFI is employed adaptively based on ME scheme. Experimental results show that the proposed algorithm improves the PSNR up to 3dB, the SSIM up to 0.07 and 68% lower SAD calculations compared to the EBME and the conventional FRUC algorithms.