• 제목/요약/키워드: Picture Complexity

검색결과 96건 처리시간 0.031초

Extended Adaptive Spatio-Temporal Auto-Regressive Model for Video Sequence (동영상에서의 확장된 시공간 적응적 Auto-regressive 모델의 연구)

  • Doo, Seok-Joo;Kang, Moon-Gi
    • Journal of the Korean Institute of Telematics and Electronics S
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    • 제36S권11호
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    • pp.54-59
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    • 1999
  • In this paper, a generalized auto-regressive(AR) model is proposed for linear prediction based on adaptive spatio-temporal support region(ASTSR). The conventional AR model suffers from the drawback that the prediction error increases in the edge region because the rectangular support region of the edge does not satisfy the stationary assumption. Thus, the proposed approach puts an emphasis on the formulation of a spatio-temporally adaptive support region for the AR model, called ASTSR. The ASTSR consists of two parts: the adaptive spatial support region(ASSR) connected with edges and the adaptive temporal support region(ATSR) related to temporal discontinuities. The AR model based on ASTSR not only produces more accurate model parameters but also reduces the computational complexity in the motion picture restoration.

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Temporal Prediction Structure for Multi-view Video Coding (다시점 비디오 부호화를 위한 시간적 예측 구조)

  • Yoon, Hyo-Sun;Kim, Mi-Young
    • Journal of Korea Multimedia Society
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    • 제15권9호
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    • pp.1093-1101
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    • 2012
  • Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. Multi-view video coding exploits inter-view correlations among pictures of neighboring views and temporal correlations among pictures of the same view. Multi-view video coding which uses many cameras requires a method to reduce the computational complexity. In this paper, we proposed an efficient prediction structure to improve performance of multi-view video coding. The proposed prediction structure exploits an average distance between the current picture and its reference pictures. The proposed prediction structure divides every GOP into several small groups to decide the maximum index of hierarchical B layer and the number of pictures of each B layer. Experimental results show that the proposed prediction structure shows good performance in image quality and bit-rates. When compared to the performance of hierarchical B pictures of Fraunhofer-HHI, the proposed prediction structure achieved 0.07~0.13 (dB) of PSNR gain and was down by 6.5(Kbps) in bitrate.

Fast Intermode Decision for Scalable Video Coding using Statistical Hypothesis Testing (스케일러블 비디오 부호화에서 통계적 가설 검증 기법을 이용한 고속 화면간 모드 결정)

  • Lee, Bum-Shik;Hahm, Sang-Jin;Kim, Byung-Sun;Lee, Keun-Sik;Park, Keun-Soo;Kim, Mun-Churl
    • Journal of Broadcast Engineering
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    • 제12권3호
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    • pp.250-265
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    • 2007
  • In this paper, a fast intermode decision scheme is introduced by efficiently performing the mode decision using statistical hypothesis testing for hierarchical B-picture coding of SVC, in which much computational power is expensed for combined variable block sizes and hierarchical B-pictures. The hypothesis testing in the proposed method is performed on $16{\times}16\;and\;8{\times}8$ blocks to have early termination for RD computation of all possible modes. The early termination in intermode decision is performed by comparing the pixel values of current blocks and corresponding motion-compensated blocks. The proposed scheme exhibits effective early termination behavior in intermode decision and leads to a significant reduction up to 69% in computational complexity with slight increment in bit amounts. The degradation of visual quality turns out to be negligible in terms of PSNR values.

A Study on Decoding Characteristic Analysis of Non-iterative Fractal Image Compression (무반복 프랙탈 영상 압축의 복호 특성 분석에 관한 연구)

  • Kwak No-Yoon
    • Journal of Digital Contents Society
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    • 제5권3호
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    • pp.199-204
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    • 2004
  • A problem of many fractal image compression algorithms providing good quality at low bit rate is that the decoding time rests on an iterative procedure whose complexity is imag-dependent. This paper proposes an iterative-free fractal image decoding algorithm to reduce the decoding time. In the proposed method, under the encoder previously with the same codebook image as an initial image to be used at the decoder, the fractal coefficients are obtained through calculating the similarity between the codebook image and an input image to be encoded. As the decoding time could be remarkably reduced. For verifying the validity and universality of proposed method, We evaluated and analyzed the performance of decoding time and image quality for a number of still images and a moving picture with different distributed characteristics.

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The Study of Comparison of DCT-based H.263 Quantizer for Computative Quantity Reduction (계산량 감축을 위한 DCT-Based H.263 양자화기의 비교 연구)

  • Shin, Kyung-Cheol
    • Journal of the Institute of Convergence Signal Processing
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    • 제9권3호
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    • pp.195-200
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    • 2008
  • To compress the moving picture data effectively, it is needed to reduce spatial and temporal redundancy of input image data. While motion estimation! compensation methods is effectively able to reduce temporal redundancy but it is increased computation complexity because of the prediction between frames. So, the study of algorithm for computation reduction and real time processing is needed. This paper is presenting quantizer effectively able to quantize DCT coefficient considering the human visual sensitivity. As quantizer that proposed DCT-based H.263 could make transmit more frame than TMN5 at a same transfer speed, and it could decrease the frame drop effect. And the luminance signal appeared the difference of $-0.3{\sim}+0.65dB$ in the average PSNR for the estimation of objective image quality and the chrominance signal appeared the improvement in about 1.73dB in comparision with TMN5. The proposed method reduces $30{\sim}31%$ compared with NTSS and $20{\sim}21%$ compared to 4SS in comparition of calculation quantity.

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Selective Interpolation Filter for Video Coding (비디오 압축을 위한 선택적인 보간 필터)

  • Nam, Jung-Hak;Jo, Hyun-Ho;Sim, Dong-Gyu;Lee, Soo-Youn
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • 제49권1호
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    • pp.58-66
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    • 2012
  • Even after establishment of H.264/AVC standard, the video coding experts group (VCEG) of ITU-T has researched on development of promising coding techniques to increase coding efficiency based on the key technology area (KTA) software. Recently, the joint collaboration team video coding (JCT-VC) which was composed of the VCEG and the motion picture experts group (MPEG) of ISO/IEC is developing a next-generation video standard namely HEVC intended to gain twice efficiency than H.264/AVC. An adaptive interpolation technique, one of various next-generation techniques, reported higher coding efficiency. However, it has high computational complexity and does not deal with various error characteristics for videos. In this paper, we investigate characteristics of interpolation filters and propose an effective fixed interpolation filter bank including diverse properties of error. Experimental results is shown that the proposed method achieved bitrate reduction by 0.7% and 1.3% compared to fixed directional interpolation filter (FDIF) of the KTA and the directional interpolation filter (DIF) of the HEVC test model, respectively.

Reduction of Dynamic False Contours based on Gray Level Selection method in PDP (계조 수 감소를 이용한 PDP내에서 의사 윤곽 제거 기법)

  • Ahn Sang-Jun;Eo Yoon-Phil;Lee Sang-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제30권7C호
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    • pp.716-725
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    • 2005
  • In this paper, we propose a new approach for the reduction of the dynamic false contours, which detects and compensates false contour artifacts adaptively. First, we develop a simple but effective method to select the pixels that are likely to cause the motion artifacts, based on the distribution of pixel values. Then, we merge the selected pixels into several regions using tree structure. Next, we reduce number of gray levels within the regions slightly to reduce the false contours. Note that reducing number of gray levels yield the distortion, thus it is applied only to the selected regions, instead of the whole picture. Intensive simulations on real moving image show that the proposed algorithm alleviates the dynamic false contours effectively with tolerable computational complexity.

A Novel Bit Allocation Method Using Two-phase Optimization Technique (2단계 최적화 방법을 이용한 비트할당 기법)

  • 김욱중;김성대
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제23권8호
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    • pp.2032-2041
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    • 1998
  • In this work, we propose a novel bit allocation method that is to minimize overall distortions subject ot the bit rate constraint. We partition the original bitallocation problem into 'macroblock level bit allocation' problems that can be solved by conventional Lagrangian mutiplier methods and a 'frame level bit allocation' problem. To tackle the frame level problem, 'two-phase optimization' algorithm is used with iter-frame dependency model. While the existing approaches are almost impossible to find the macroblock-unit result for the moving picture coding system due to high computational complexity, the proposed algorithm can drastically reduce the computational loads by the problem partitioning and can obtain the result close to the optimal solution. Because the optimally allocated results can be used as a benchmark for bit allocation methods, the upper performance limit, or a basis for approximation method development, we expect that the proposed algorithm can be very useful for the bit allocation related works.

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Fast Motion Estimation Using Multiple Reference Pictures In H.264/Avc (H.264/AVC에서 다중 참조 픽처를 이용한 고속 움직임 추정)

  • Kim, Seong-Hee;Oh, Jeong-Su
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제32권5C호
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    • pp.536-541
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    • 2007
  • In video coding standard H.264/AVC, motion estimation using multiple reference pictures improves compression efficiency but the efficiency depends upon image content not the number of reference pictures. So, the motion estimation includes a large amount of computation of no worth according to image. This paper proposes fast motion estimation algorithm that removes worthless computation in the motion estimation using multiple reference pictures. The proposed algorithm classifies a block into valid and invalid blocks for the multiple reference pictures and removes the workless computation by applying a single reference picture to the invalid block. To estimate the proposed algorithm's performance, image quality, bit rate, and motion estimation time are compared with ones of the conventional algorithm in the reference software JM 9.5. The simulation results show that the proposed algorithm can considerably save about 38.67% the averaged motion estimation time while keeping the image quality and the bit rate, whose are average values are -0.02dB and -0.77% respectively, as good as the conventional algorithm.

Implementation of an Automatic Test Data Generating Tool for Digital TV Software (디지털 TV 소프트웨어를 위한 테스트 데이터 자동 생성기의 구현)

  • Gwak, Tae-Hee;Choi, Byoung-Ju
    • Journal of KIISE:Computing Practices and Letters
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    • 제8권5호
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    • pp.551-562
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    • 2002
  • Digital TV software, receiver system for digital broadcasting, processes huge MPEG-2 TS formatted data that has variable hierarchy. Because of complexity and enormity of MPEG-2 TS, it is difficult for user to generate test data manually. Generating of test data is not only expensive and time consuming but also requires expert knowledge of MPEG-2 standard. In this paper, we implemented the tool that generates the MPEG-2 TS formatted test data for Digital TV software. Using this tool, user ran get reliable test data without extensive knowledge of MPEG-2 standard. Also, database mechanism that our tool based on supports variable hierarchy of MPEG-2 TS.