• Title/Summary/Keyword: Diamond Search Algorithm

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A Cross-Diamond-Triangle Search Algorithm for Fast Block-Matching Motion Estimation (고속 블록 정합 움직임 측정을 위한 십자-다이아몬드-삼각 탐색 알고리즘)

  • Kim, Seong-Hoon;Shin, Jae-Min;Oh, Seoung-Jun;Ahn, Chang-Beom;Park, Ho-Chong;Sim, Dong-Gyu
    • Journal of Broadcast Engineering
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    • v.10 no.3
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    • pp.357-371
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    • 2005
  • In this Paper, we propose a new motion search algorithm called CDTS (Cross-Diamond-Triangle Search algorithm) that uses optimal search pattern according to the position of a search area to improve the performance of CDS(Cross-Diamond Search algorithm) as well as CDHSs(Cross-Diamond-Hexagonal Searches algorithms). We analyze motion distributions in various test video sequences to apply optimal search pattern according to a position of search area. Based on the result of this analysis, we propose a new triangle-shaped search pattern whose structure is asymmetric while previous search patterns are generally symmetric in conventional algorithms. In CDTS, we apply cross- and diamond-shaped search patterns to central search areas, and triangle- and diamond-shaped patterns to the other areas. Applying CDTS to test video sequences, the proposed scheme can reduce search points more than CDS and CDHSs by 16.22$\%$ and 3.09$\%$, respectively, without any visual quality degradation.

A Fast Block Matching Algorithm using Unit-Diamond and Flat-Hexagonal Search Patterns (단위 다이아몬드와 납작한 육각패턴을 이용한 고속 블록 정합 알고리즘)

  • 남현우;위영철;김하진
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.1
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    • pp.57-65
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    • 2004
  • In the block matching algorithm, search patterns of different shapes or sizes and the distribution of motion vectors have a large impact on both the searching speed and the image quality. In this paper, we propose a new fast block matching algorithm using the unit-diamond search pattern and the flat-hexagon search pattern. Our algorithm first finds the motion vectors that are close to the center of search window using the unit-diamond search pattern, and then fastly finds the other motion vectors that are not close to the center of search window using the flat-hexagon search pattern. Through experiments, compared with the hexagon-based search algorithm(HEXBS), the proposed unit-diamond and flat-hexagonal pattern search algorithm(UDFHS) improves as high as 11∼51% in terms of average number of search point per motion vector estimation and improves about 0.05∼0.74㏈ in terms of PSNR(Peak Signal to Noise Ratio).

An Expanded Small Diamond Search Algorithm for Fast Block Motion Estimation (확장된 작은 다이아몬드 패턴을 이용한 고효율의 움직임 추정 알고리즘)

  • Jeong, Chang-Uk;Choi, Jin-Ku
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10d
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    • pp.586-590
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    • 2006
  • 본 논문에서는 다이아몬드 탐색(diamond search, DS)과 효율적인 3 단계 탐색(efficient three-step search, E3SS) 등의 블록 정합 기법(block matching algorithm, BMA)들에서 이용된 작은 다이아몬드(small diamond) 패턴을 광역 탐색에 적합하도록 확장시킨 고속의 움직임 추정 알고리즘을 제안한다. 제안된 알고리즘에서는 탐색 윈도우(search window)의 중앙으로부터 설치된 정사각형 패턴의 크기가 내부에서 대수적으로 감소되며 작은 다이아몬드 탐색(small diamond search, SDS) 기법에 의해 탐색이 완료된다. 실험 결과는 제안된 알고리즘이 DS 보다 평균 3개의 탐색 점을 더 적게 사용하고 E3SS에 비하여 약 5개 정도의 탐색 점 수에 대한 이득을 보이지만 움직임 추정상의 정확도는 다른 고속 BMA들과 거의 동일한 수준을 유지하는 것으로 확인된다.

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An Adaptive Motion Estimation Algorithm Using Spatial Correlation (공간 상관성을 이용한 적응적 움직임 추정 알고리즘)

  • 박상곤;정동석
    • Proceedings of the IEEK Conference
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    • 2000.06d
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    • pp.43-46
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    • 2000
  • In this paper, we propose a fast adaptive diamond search algorithm(FADS) for block matching motion estimation. Fast motion estimation algorithms reduce the computational complexity by using the UESA (Unimodal Error Search Assumption) that the matching error monotonically increases as the search moves away from the global minimum error. Recently many fast BMAs(Block Matching Algorithms) make use of the fact that the global minimum points in real world video sequences are centered at the position of zero motion. But these BMAs, especially in large motion, are easily trapped into the local minima and result in poor matching accuracy. So, we propose a new motion estimation algorithm using the spatial correlation among the adjacent blocks. We change the origin of search window according to the spatially adjacent motion vectors and their MAE(Mean Absolute Error). The computer simulation shows that the proposed algorithm has almost the same computational complexity with UCBDS(Unrestricted Center-Biased Diamond Search)〔1〕, but enhance PSNR. Moreover, the proposed algorithm gives almost the same PSNR as that of FS(Full Search), even for the large motion case, with half the computational load.

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Fast Block-Matching Motion Estimation Using Constrained Diamond Search Algorithm (구속조건을 적용한 다이아몬드 탐색 알고리즘에 의한 고속블록정합움직임추정)

  • 홍성용
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.4
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    • pp.13-20
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    • 2003
  • Based on the studies on the motion vector distributions estimated on the image sequences, we proposed constrained diamond search (DS) algorithm for fast block-matching motion estimation. By considering the fact that motion vectors are searched within the 2 pixels distance in vertically and horizontally on average, we confirmed that DS algorithm achieves close performance on error ratio and requires less computation compared with new three-step search (NTSS) algorithm. Also, by applying displaced frame difference (DFD) to DS algorithm, we reduced the computational loads needed to estimate the motion vectors within the stable block that do not have motions. And we reduced the possibilities falling into the local minima in the course of estimation of motion vectors by applying DFD to DS algorithm. So, we knew that proposed constrained DS algorithm achieved enhanced results as aspects of error ratio and the number of search points to be necessary compared with conventional DS algorithm, four step search (FSS) algorithm, and block-based gradient-descent search algorithm

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Adaptive Selection of Fast Block Matching Algorithms for Efficient Motion Estimation (효율적인 움직임 추정을 위한 고속 블록 정합 알고리듬의 적응적 선택)

  • Kim, Jung-Jun;Jeon, Gwang-Gil;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.1C
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    • pp.19-33
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    • 2008
  • A method that is adaptively selecting among previous fast motion estimation algorithms and a newly proposed fast motion estimation algorithm(UCDS) is presented in this paper. The algorithm named AUDC and a newly proposed fast motion estimation algorithms are based on the Diamond Search(DS) algorithm and Three Step Search(TSS). Although many previous fast motion estimation algorithms have lots of advantages, those have lots of disadvantages. So we thought better adaptive selection of fast motion estimation algorithms than only using one fast motion estimation algorithm. Therefore, we propose AUDC that is using length of the MV, Search Point, SAD of the neighboring block and adaptively selecting among Cross Three Step Search(CTSS), Diamond Search(DS) and Ungraded Cross Diamond Search(UCDS). Experimental results show that the AUDC is much more robust, provides a faster searching speed, and smaller distortions than other popular fast block-matching at algorithms.

ENHANCED CROSS-DIAMOND SEARCH BASED FAST BLOCK MATCHING NOTION ESTIMATION ALGORITHM (고속 블록 정합 움직임 추정 기법 기반의 향상된 십자 다이아몬드 탐색)

  • Kim, Jung-Jun;Jeon, Gwang-Gil;Jeong, Je-Chang
    • Journal of Broadcast Engineering
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    • v.12 no.5
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    • pp.503-515
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    • 2007
  • A new fast motion estimation algorithm is presented in this paper. The algorithm, named Enhanced Cross-Diamond Search (ECDS), is based on the Diamond Search (DS) algorithm. The DS algorithm, even though faster than the most well-known algorithms, was found not to be very robust in terms of objective and subjective qualities for several sequences and the algorithm searches unnecessary candidate blocks. We propose a novel ECDS algorithm using a small cross search as the initial step, and large/small DS patterns as subsequent steps for fast block motion estimation. Experimental results show that the ECDS is much more robust, provides a faster searching speed, and smaller distortions than other popular fast block-matching algorithms.

A Diamond Web-grid Search Algorithm Combined with Efficient Stationary Block Skip Method for H.264/AVC Motion Estimation (H.264/AVC 움직임 추정을 위한 효율적인 정적 블록 스킵 방법과 결합된 다이아몬드 웹 격자 탐색 알고리즘)

  • Jeong, Chang-Uk;Choi, Jin-Ku;Ikenaga, Takeshi;Goto, Satoshi
    • Journal of Internet Computing and Services
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    • v.11 no.2
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    • pp.49-60
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    • 2010
  • H.264/AVC offers a better encoding efficiency than conventional video standards by adopting many new encoding techniques. However, the advanced coding techniques also add to the overall complexity for H.264/AVC encoder. Accordingly, it is necessary to perform optimization to alleviate the level of complexity for the video encoder. The amount of computation for motion estimation is of particular importance. In this paper, we propose a diamond web-grid search algorithm combined with efficient stationary block skip method which employs full diamond and dodecagon search patterns, and the variable thresholds are used for performing an effective skip of stationary blocks. The experimental results indicate that the proposed technique reduces the computations of the unsymmetrical-cross multi-hexagon-grid search algorithm by up to 12% while maintaining a similar PSNR performance.

A Center Biased Cross-Diamond Search Algorithm for Fast Fractional-pel Motion Estimation (고속 부화소 움직임 추정을 위한 중심 지향적 십자 다이아몬드 탐색 알고리즘)

  • Jo, Seong-Hyeon;Lee, Jong-Hwa
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.2
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    • pp.78-84
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    • 2009
  • In general video coding systems, motion estimation (ME) is regarded as a vital component in a video coder as it consumes a large amount of computation resources. Fractional pixel motion estimation can improve the video compression rate at the cost of higher computational complexity. It is based on the experimental results that the sum of absolute differences (SAD) shows parabolic shape and thus can be approximated by using interpolation technique. In this paper, we propose a fast fractional pixel search algorithm by combining SASR (Simplified Adaptive Search Range) and the CBCDS (Center Biased Cross-Diamond Search) pattern with the predicted motion vector. Compare with the fractional pel full search and the CBFPS, the proposed CBCDS algorithms can reduce fractional pel search points up to 81.4%, respectively with the PSNR lost about 0.05dB.

A New Fast Motion Estimation Algorithm Based on Block Sum Pyramid Algorithm

  • Jung, Soo-Mok
    • Journal of the Korea Computer Industry Society
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    • v.5 no.1
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    • pp.147-156
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    • 2004
  • In this paper, a new fast motion estimation algorithm which is based on the Block Sum Pyramid Algorithm(BSPA) is presented. The Spiral Diamond Mesh Search scheme and Partial Distortion Elimination scheme of Efficient Multi-level Successive Elimination Algorithm were improved and then the improved schemes were applied to the BSPA. The motion estimation accuracy of the proposed algorithm is nearly 100% and the cost of Block Sum Pyramid Algorithm was reduced in the proposed algorithm. The efficiency of the proposed algorithm was verified by experimental results.

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