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Motion vector correction based on the pattern-like image analysis

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2003年第3期49卷 479-484页

作者： Lee, SH Kwon, O Park, RH Samsung Elect Co Ltd DTV R&D Grp Visual Display Div Digital Media Network Business Suwon South Korea Sogang Univ Dept Elect Engn Seoul South Korea

In this paper, we propose a motion vector correction algorithm to correct the erroneous motion vectors due to the failure of conventional motion estimation (ME) based on block matching algorithm (BM,4). The proposed method is based on the pattern-like image analysis that consists of the periodic pattern detection and calculation of motion parameters for the motion vector correction. In addition, the proposed method corrects effectively the erroneous motion vectors using the relations between the periodic pattern and local/global minima depending on whether the periodic pattern is static or moving. Also, it does not significantly increase computational complexity since it uses the estimated motion vectors and the integral projection of the sum of absolute difference (SAD) previously obtained from the conventional ME. Experimental results indicate good performance of the proposed scheme with significant reduction the erroneous motion vectors.

关键词： block matching algorithm motion estimation motion vector correction pattern-like image analysis

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Reference block updating when tracking with block matching algorithm

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ELECTRONICS LETTERS 2000年第4期36卷 309-310页

作者： Peacock, AM Matsunaga, S Renshaw, D Hannah, J Murray, A Univ Edinburgh Dept Elect Engn Edinburgh EH9 3JL Midlothian Scotland

An important problem when using the block matching algorithm to track objects is how to update the reference block to take account of the changing target appearance. A variety of update strategies are reported and com... 详细信息

关键词： Optical, image and video signal processing motion estimation reference block updating optical tracking update strategies target appearance block matching algorithm image matching Computer vision and image processing techniques

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Real-time 3-D ultrasound fetal image enhancement techniques using motion compensated frame rate up-conversion

Real-time 3-D ultrasound fetal image enhancement techniques ...

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Medical Imaging 2003 Conference

作者： Lee, GI Park, RH Song, YS Kim, CA Hwang, JS Sogang Univ Dept EE Seoul 100611 South Korea

ISBN: (纸本)0819448362

In this paper, we present a motion compensated frame rate up-conversion method for real-time three-dimensional (3-D) ultrasound fetal image enhancement. The conventional mechanical scan method with one-dimensional (I-D) array converters used for 3-D volume data acquisition has a slow frame rate of multi-planar images. This drawback is not an issue for stationary objects, however in ultrasound images showing a fetus of more than about 25 weeks, we perceive abrupt changes due to fast motions. To compensate for this defect, we propose the frame rate up-conversion method by which new interpolated frames are inserted between two input frames, giving smooth renditions to human eyes. More natural motions can be obtained by frame rate up-conversion. In the proposed algorithm, we employ forward motion estimation (ME), in which motion vectors (MVs) are estimated using a block matching algorithm (BMA). To smooth MVs over neighboring blocks, vector median filtering is performed. Using these smoothed MVs, interpolated frames are reconstructed by motion compensation (MC). The undesirable blocking artifacts due to blockwise processing are reduced by block boundary filtering using a Gaussian low pass filter (LPF). The proposed method can be used in computer aided diagnosis (CAD), where more natural 3-D ultrasound images are displayed in real-time. Simulation results with several real test sequences show the effectiveness of the proposed algorithm.

关键词： frame rate up-conversion real-time 3-D ultrasound fetal image motion estimation block matching algorithm motion compensation computer aided diagnosis

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Comparing block matching algorithms 3

Comparing block matching algorithms

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Conference on Electronic Imaging and Multimedia Technology III

作者： Yue, HL Zhang, ZB Jianghan Petr Univ Dept Elect & Informat Engn Jinzhou Hubei Peoples R China

ISBN: (纸本)0819447145

Motion estimation plays an important role in real-time video coding because it can improve compression efficiency greatly block matching algorithms are popular in motion estimation. The full search algorithm is the most obvious and simplistic block matching algorithm, but its high computational cost limits its practical use. Many fast algorithms are constantly proposed. Fast algorithms can greatly reduce the computation by only searching selected positions in the search window. In this paper, several block matching algorithms (including FS, TSS, TDL, and CS) are introduced and compared by compute simulation. Experiment results show that the full search algorithm provides high compression with low distortion, but it costs much time;fast algorithms reduce the computational time significantly while suffer performance loss;the three-step search algorithm is the most practicably algorithm in the fast algorithms.

关键词： block matching algorithm motion estimation FS TSS TDL CS

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Error concealment technique based on optical flow

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ELECTRONICS LETTERS 2002年第18期38卷 1020-1021页

作者： Suh, JW Ho, YS Kwangju Inst Sci & Technol Dept Informat & Commun Kwangju 500712 South Korea

A new motion vector recovery algorithm based on optical flow is proposed. Optical flow fields are very similar to the true motion and can be used to recover three-dimensional motion information. Experimental results on test video sequences produced a higher peak signal-to-noise ratio value than that of conventional methods based on the block matching algorithm.

关键词： error concealment Interpolation and function approximation (numerical analysis) block matching algorithm digital simulation motion vector recovery algorithm Codes test video sequences Computer vision and image processing techniques signal-to-noise MPEG-2 video transmission motion estimation Optical, image and video signal processing iterative methods digital transmission services three-dimensional motion optical flow Video signal processing error correction image sequences

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A fast full search motion estimation algorithm using sequential rejection of candidates from multilevel decision boundary

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IEICE TRANSACTIONS ON COMMUNICATIONS 2002年第1期E85B卷 355-358页

作者： Kim, JM Ahn, BH KBS Tech Res Inst Yongdeungpo Gu Seoul 150790 South Korea K JIST Dept Mechatron Puk Gu Kwangju 500712 South Korea

We propose a new and fast full search (FS) motion estimation algorithm for video coding. The computational reduction comes from sequential rejection of impossible candidates with derived formula and subblock norms. Ou... 详细信息

关键词： motion estimation block matching algorithm fast full search partial norms decision boundary

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Cloud motion detection from infrared satellite images

Cloud motion detection from infrared satellite images

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2nd International Conference on Image and Graphics

作者： Brad, R Letia, IA Lucian Blaga Univ Sibiu Comp Sci Dept Sibiu 2400 Romania

ISBN: (纸本)0819446564

The estimation of cloud motion from a sequence of satellite images can be considered a challenging task due to the complexity of phenomena implied. Being a non-rigid motion and implying non-linear events, most motion models are not suitable and new algorithms have to be developed. We propose a novel technique, combining a block matching algorithm (BMA) and a best candidate block search along with a vector median regularisation.

关键词： motion detection block matching algorithm cloud motion infrared satellite images

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Facial feature tracking by robust face sementation and scalable rotational BMA

Facial feature tracking by robust face sementation and scala...

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Conference on Visual Communications and Image Processing 2002

作者： Kim, JS Cho, NI Kee, SC Lee, SU Seoul Natl Univ Seoul South Korea

ISBN: (纸本)0819444111

We proposed an algorithm for the tracking of facial feature points based on the block matching algorithm (BMA) with a new shape of window considering the feature point characteristics and scale/angle changes of the face. The window used in the proposed algorithm is the set of pixels in the 8 radial lines of 0degrees, 45degrees, (...) from the feature point, i.e. the window has the shape of cross plus 45degrees rotated cross. This shape of window is shown to be more efficient than the conventional rectangular window in tracking the facial feature points, because the points and their neighbor are not usually the objects of rigid body. But since the feature points are usually on the edges of luminance or color changes, at least one of the radial line crosses the edge and it gives distinct measure for tracking the point. Also the radial line window requires less computational complexity than the rectangular window and more readily adjusted with respect to scale and angle changes. For the estimation of scale changes, the facial region is segmented at each frame using the normalized color, and the number of pixels in the facial region are compared.

关键词： feature tracking facial segmentation block matching algorithm

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Fast adaptive diamond search algorithm for block matching motion estimation using spatial correlation

Fast adaptive diamond search algorithm for block matching mo...

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Conference on Visual Communications and Image Processing 2001

作者： Park, SG Jeong, DS Inha Univ Dept Elect Engn Nam Gu Inchon South Korea

ISBN: (纸本)0819439886

In this paper, we propose a fast adaptive diamond search algorithm(FADS) for block matching motion estimation. Many fast motion estimation algorithms reduce the computational complexity by the UESA(Unimodal Error Surface Assumption) where the matching error monotonically increases as the search moves away from the global minimum point. 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 neighboring blocks. We move the search origin according to the motion vectors of the spatially neighboring blocks and their MAEs(Mean Absolute Errors). The computer simulation shows that the proposed algorithm has almost the same computational complexity with DS(Diamond Search)(1,2), but enhances PSNR. Moreover, the proposed algorithm gives almost the same PSNR as that of FS(Full Search), even for the large motion with half the computational load.

关键词： motion estimation spatial correlation block matching algorithm video compression

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Multi-level, multi-step motion estimation algorithm

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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2001年第6期E84D卷 760-762页

作者： Shin, DS Kwak, NJ Kwon, HB Ahn, JH Chungbuk Natl Univ Sch Elect & Elect Engn Dept Comp & Commun Engn Visual Commun Lab Chonju 361763 Chungbuk South Korea Gimpo Coll Dept Informat & Commun Engn Kimpo 415870 Kyounggi South Korea

In this paper, we propose a multi-level block matching algorithm using motion information in blocks. In the proposed algorithm, the block-level is decided by the motion degree in the block before motion searching procedure, and then adequate motion searching performs according to the block-level. Which improves computational efficiency by eliminating an unnecessary searching process in no motion or low motion regions, and brings more accurate estimation results by deepening motion searching process in high motion regions. Simulation results show that the proposed algorithm brings the lower estimation error about 20% MSE reduction - with the fewer blocks per frame and the lower computational loading - about 98% operational amount reduction - than full search block matching algorithm with constant block size.

关键词： motion estimation block matching algorithm motion vector video coding

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