• 제목/요약/키워드: Efficient Compression

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컬러와 깊이 정보를 포함하는 다시점 영상의 효율적 계층척 깊이 영상 표현 (Efficient Layered Depth Image Representation of Multi-view Image with Color and Depth Information)

  • 임중희;김민태;신종홍;지인호
    • 한국인터넷방송통신학회논문지
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    • 제9권1호
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    • pp.53-59
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    • 2009
  • 다시점 비디오는 데이터 양이 매우 많아서 이를 효과적으로 저장하고 전송하기 위해서는 새로운 압축 부호화의 기술 개발이 필수적이다. 계층적 깊이 영상은 다시점 비디오를 효과적으로 부호화할 수 있는 방법으로 여러 시점의 컬러와 깊이 영상을 합성하여 하나의 데이터 구조로 만든 것이다. 본 논문에서는 실제 거리비교, 오버랩 문제해결, 보간법을 이용한 효율적인 계층적 깊이 영상 표현을 통해서 다시점 영상에 대한 압축 효율을 향상시키는 방법을 제안 하였다. 실험 결과를 통해서 압축 성능 향상을 얻을 수 있었다.

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조합하중을 받는 해양구조물 원통부재의 최동강도 해석 (Utimate strength analysis of cylindrical members of offshore structure subject to combined loads)

  • 박치모
    • 한국해양공학회지
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    • 제11권2호
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    • pp.11-17
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    • 1997
  • Simple and efficient way of nonlinear analysis considering elasto-plastic large deformation is introduced to calculate the strength of ring-stiffened cylinears subject to combined load of axial compression and lateral pressure. Parametric study gives various collapse modes according to the combination ratio of axial compression and lateral pressure, interaction between axial compression and lateral pressure and imperfection sensitivity of ultimate strength.

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계층적 깊이 영상으로 표현된 다시점 비디오에 대한 H.264 부호화 기술 (H.264 Encoding Technique of Multi-view Video expressed by Layered Depth Image)

  • 신종홍;지인호
    • 한국인터넷방송통신학회논문지
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    • 제14권2호
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    • pp.43-51
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    • 2014
  • 깊이 영상을 고려한 다시점 비디오는 매우 많은 양의 데이터 때문에 저장과 전송을 위해서 새로운 부호화 압축 기술 개발이 요구된다. 계층적 깊이 영상은 다시점 비디오의 효과적인 표현방법이 된다. 이 방법은 다시점 칼라와 깊이 영상을 합성하는 데이터 구조를 만들어 준다. 이 새로운 콘텐츠를 효과적으로 압축하는 방법으로 3차원 워핑을 이용한 계층적 깊이 영상 표현과 비디오 압축 부호화를 적용하는 방법을 제안하였다. 이 논문은 계층적 영상 표현을 사용한 H.264/AVC 비디오 부호화 기술의 개선된 압축 방법을 제시하여 준다. 컴퓨터 모의시험으로 좋은 압축율과 좋은 성능의 회복 영상을 얻을 수 있음을 제시하였다.

Modeling and prediction of buckling behavior of compression members with variability in material and/or section properties

  • Gadalla, M.A.;Abdalla, J.A.
    • Structural Engineering and Mechanics
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    • 제22권5호
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    • pp.631-645
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    • 2006
  • Buckling capacity of compression members may change due to inadvertent changes in the member section dimensions or material properties. This may be the result of repair, modification of section properties or degradation of the material properties. In some occasions, enhancement of buckling capacity of compression members may be achieved through splicing of plates or utilization of composite materials. It is very important for a designer to predict the buckling resistance of the compression member and the important parameters that affect its buckling strength once changes in section and/or material properties took place. This paper presents an analytical approach for determining the buckling capacity of a compression member whose geometric and/or material properties has been altered resulting in a multi-step non-uniform section. This analytical solution accommodates the changes and modifications to the material and/or section properties of the compression member due to the factors mentioned. The analytical solution provides adequate information and a methodology that is useful during the design stage as well as the repair stage of compression members. Three case studies are presented to show that the proposed analytical solution is an efficient method for predicting the buckling strength of compression members that their section and/or material properties have been altered due to splicing, coping, notching, ducting and corrosion.

3차원 웨이블릿 기반의 스케일러블 비디오 부호화를 위한 효과적인 움직임 예측 및 보상 방법 (Efficient motion estimation and compensation methods for scalable video coding using 3D wavelet transform)

  • 김종호;이준재;정제창
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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    • pp.433-436
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    • 2003
  • In this paper, the efficient motion estimation and compensation method for 3 dimensional wavelet transform is proposed. Recently, since the compression performance and scalable functionality are provided by wavelet transform, many researches have been carried out for applying to the video compression. For the temporal filtering, motion estimation and compensation techniques are used, but the unconnected pixels, which are produced by motion compensation result into the degradation of coding performance and quality of the picture. For the efficient motion compensated temporal filtering by reducing the number of these unconnected pixels, we propose the variable block size motion estimation and compensation method. Also we propose a method that determines the block size using rate-distortion optimization technique according to the local characteristics of the frame. The simulation results show the improved performances than the MPEG-4 scalable coding methods and the 3 dimensional wavelet coding methods using fixed block size motion estimation and compensation.

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Computationally Efficient and Accurate Simulation of Cyclic Behavior for Rectangular HSS Braces

  • Lee, Chang Seok;Sung, Min Soo;Han, Sang Whan;Jee, Hyun Woo
    • 국제강구조저널
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    • 제18권4호
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    • pp.1125-1138
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    • 2018
  • During earthquakes, braces behave in complex manners because of the asymmetric response nature of their responses in tension and compression. Hollow structural sections (HSS) have been popularly used for braces due to their sectional efficiency in compression. The purpose of this study is to accurately simulate the cyclic behavior of rectangular HSS braces using a computationally efficient numerical model. A conceptually efficient and simple physical theory model is used as a basis model. To improve the accuracy of the model, cyclic beam growth and buckling load, as well as the incidences of local buckling and brace fracture are estimated using empirical equations obtained from regression analyses using test data on rectangular HSS braces. The accuracy of the proposed model is verified by comparing actual and simulated cyclic curves of brace specimens with various slenderness and width-to-thickness ratios.

High Efficient Entropy Coding For Edge Image Compression

  • Han, Jong-Woo;Kim, Do-Hyun;Kim, Yoon
    • 한국컴퓨터정보학회논문지
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    • 제21권5호
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    • pp.31-40
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    • 2016
  • In this paper, we analyse the characteristics of the edge image and propose a new entropy coding optimized to the compression of the edge image. The pixel values of the edge image have the Gaussian distribution around '0', and most of the pixel values are '0'. By using this analysis, the Zero Block technique is utilized in spatial domain. And the Intra Prediction Mode of the edge image is similar to the mode of the surrounding blocks or likely to be the Planar Mode or the Horizontal Mode. In this paper, we make use of the MPM technique that produces the Intra Prediction Mode with high probability modes. By utilizing the above properties, we design a new entropy coding method that is suitable for edge image and perform the compression. In case the existing compression techniques are applied to edge image, compression ratio is low and the algorithm is complicated as more than necessity and the running time is very long, because those techniques are based on the natural images. However, the compression ratio and the running time of the proposed technique is high and very short, respectively, because the proposed algorithm is optimized to the compression of the edge image. Experimental results indicate that the proposed algorithm provides better visual and PSNR performance up to 11 times than the JPEG.

An Efficient DNA Sequence Compression using Small Sequence Pattern Matching

  • Murugan., A;Punitha., K
    • International Journal of Computer Science & Network Security
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    • 제21권8호
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    • pp.281-287
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    • 2021
  • Bioinformatics is formed with a blend of biology and informatics technologies and it employs the statistical methods and approaches for attending the concerning issues in the domains of nutrition, medical research and towards reviewing the living environment. The ceaseless growth of DNA sequencing technologies has resulted in the production of voluminous genomic data especially the DNA sequences thus calling out for increased storage and bandwidth. As of now, the bioinformatics confronts the major hurdle of management, interpretation and accurately preserving of this hefty information. Compression tends to be a beacon of hope towards resolving the aforementioned issues. Keeping the storage efficiently, a methodology has been recommended which for attending the same. In addition, there is introduction of a competent algorithm that aids in exact matching of small pattern. The DNA representation sequence is then implemented subsequently for determining 2 bases to 6 bases matching with the remaining input sequence. This process involves transforming of DNA sequence into an ASCII symbols in the first level and compress by using LZ77 compression method in the second level and after that form the grid variables with size 3 to hold the 100 characters. In the third level of compression, the compressed output is in the grid variables. Hence, the proposed algorithm S_Pattern DNA gives an average better compression ratio of 93% when compared to the existing compression algorithms for the datasets from the UCI repository.

A Motion Compression Method by Min S-norm Composite Fuzzy Relational Equations

  • Nobuhara, Hajime;Hirota, Kaoru
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.488-491
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    • 2003
  • A motion compression method by min s-norm composite fuzzy relational equations (dual-MCF) is proposed, where a motion sequence is divided into intra-pictures (I-pictures) and predictive-pictures (P-pictures). The I-pictures and the P-pictures are compressed by using uniform coders and non-uniform coders, respectively. A design method of non-uniform coders is proposed to perform an efficient compression and reconstruction of the P-pictures, based on the dual overlap level of fuzzy sets and a fuzzy equalization. An experiment using 10 P-pictures confirms that the root means square errors of the proposed method is decreased to 82.9% of that of the uniform coders, under the condition that the compression rate is 0.0055. An experiment of motion compression and reconstruction is also presented to confirm the effectiveness of the dual-MCF based on the non-uniform coders.

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시간과 공간정보를 이용한 무손실 압축 알고리즘 (Lossless Compression Algorithm using Spatial and Temporal Information)

  • 김영로;정지영
    • 디지털산업정보학회논문지
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    • 제5권3호
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    • pp.141-145
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    • 2009
  • In this paper, we propose an efficient lossless compression algorithm using spatial and temporal information. The proposed method obtains higher lossless compression of images than other lossless compression techniques. It is divided into two parts, a motion adaptation based predictor part and a residual error coding part. The proposed nonlinear predictor can reduce prediction error by learning from its past prediction errors. The predictor decides the proper selection of the spatial and temporal prediction values according to each past prediction error. The reduced error is coded by existing context coding method. Experimental results show that the proposed algorithm has better performance than those of existing context modeling methods.