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New intra prediction mode for interlaced video in AVS

Gaojishu Tongxin/Chinese High technology Letters 2007年第3期17卷 221-225页

作者： Chen, Liang Tan, Yihua Tian, Jinwen State Key Laboratory of Education Ministry for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

The technologies of intra prediction and MBAFF were introduced, and a new intra prediction mode based on the characteristics of spatial distribution in interlaced video was proposed. The spatial correlation of five luma intra prediction modes in AVS-P2 and the new mode were analyzed. From the analysis result, it can be concluded that the new mode can exploit the spatial correlation better and predict the samples more precisely than the existed ones. The experimental results showed that the average gain in peak signal to noise ratio was above 0.12dB and the average reduction in bit-rate was above 1.77%, so the proposed mode is an effective prediction mode for improvement of coding performance.

关键词： AVS Interlaced video Intra prediction Video coding

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AMC-HARQ system baded on RC-LDPC codes in MIMO channels

AMC-HARQ system baded on RC-LDPC codes in MIMO channels

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1st International Workshop on Cross Layer Design, IWCLD 2007

作者： Li, Changchun Zhang, Yuling Yuan, Dongfeng Wang, Chengxiang School of Information Science and Engineering Shandong University Jinan Shandong 250100 China School of Computer Science and Technology Ludong University Yantai Shandong 250100 China Joint Research Institute of Signal and Image Processing School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS United Kingdom

ISBN: (纸本)1424412846

In this paper, we propose a cross-layer design framework combining adaptive modulation and coding (AMC) with hybrid automatic repeat request (HARQ) based on rate-compatible low-density parity-check codes (RC-LDPC) in multiple-input multiple-output (MIMO) fading channels with estimation errors. We derive the expressions for the throughput of the system and investigated the effect of channel estimation errors on the system throughput. Numerical results show that the joint design of AMC and ARQ based on RC-LDPC codes can achieve considerable spectral efficiency gain. © 2007 IEEE.

关键词： Fading channels

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image Denoising Through Support Vector Regression

Image Denoising Through Support Vector Regression

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IEEE International Conference on image processing

作者： Dalong Li Steven Simske Russell M. Mersereau Digital Printing and Imaging Laboratory Hewlett Packard Laboratories Fort Collins CO USA Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA

In this paper, an example-based image denoising algorithm is introduced. image denoising is formulated as a regression problem, which is then solved using support vector regression (SVR). Using noisy images as training sets, SVR models are developed. The models can then be used to denoise different images corrupted by random noise at different levels. Initial experiments show that SVR can achieve a higher peak signal-to-noise ratio (PSNR) than the multiple wavelet domain Besov ball projection method on document images.

关键词： image denoising Noise reduction PSNR Vectors Wavelet coefficients Wavelet domain image processing Machine learning algorithms Kernel Digital printing

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Interactive Visual Guide System for Learning Manual Work

Interactive Visual Guide System for Learning Manual Work

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Yoshihiro Yasumuro Masataka Imura Yoshitsugu Manabe Kunihiro Chihara Faculty of Environment and Urban Engineering Kansai University Suita Japan Image Processing Laboratory Nara Institute of Science and Technology Nara Japan

ISBN: (纸本)9781424431618

ABSTRACT In manufacturing factories, it is important to reduce costs and to ensure product quality in stiffer market competition. With the massive retirement of expert engineers in aging society, an effective training/education scheme for new workers is desired. However, cell production system is widely used lately and each worker is supposed to do every step of the process and thus the worker should learn more and more kinds of manufacturing skills and process. It is also desired that fresh workers can learn the skills by themselves, however, transferring skills is a very difficult issue. Learning by print-based manuals is not effective, because it is not easy to understand how to operate 3D objects and how the process transition goes from 2D documents. Besides, flipping the pages to find the information during the work is troublesome. In this research, a new training system is built with a movable head-up display, which can be adapted to actual workspaces and allows the user to access the digitized guidance contents with semitransparent touch-sensitive screen. The effectiveness is experimentally shown by applying the proposed system for some tasks to make "origami", a kind of skillful paper craft works.

关键词： Educational products Displays Manufacturing processes Costs Computer aided manufacturing Production facilities Retirement Aging Production systems Design automation

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Comparative studies of Feature Extraction methods with application to face recognition

Comparative studies of Feature Extraction methods with appli...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Yunfei Jiang Ping Guo Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China

In face recognition, the dimensionality of raw data is very high, dimension reduction (feature extraction) should be applied before classification. There exist several feature extraction methods, commonly used are principle component analysis (PCA) and linear discriminant analysis (LDA) techniques. In this paper, we present a comparative study of some feature extraction methods for face recognition in the same conditions. The methods evaluated here include eigenfaces, kernel principal component analysis (KPCA), fisherfaces, direct linear discriminant analysis (D-LDA), regularized linear discriminant analysis (R-LDA), and kernel direct discriminant analysis (KDDA). For the purpose of comparison on feature extraction methods, we adopt nearest neighbor (NN) algorithm from existed classifiers of face recognition, since this classifier is common and simpleness. Empirical studies are conducted to evaluate these feature extraction methods with images from ORL Face Database, and it is found that in most cases LDA-based methods are efficient than PCA-based ones.

关键词： Feature extraction Face recognition Linear discriminant analysis Principal component analysis Kernel Pattern recognition Nearest neighbor searches Neural networks Face detection image databases

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Multiple Initial Point Prediction based Block Motion Estimation Algorithm

Multiple Initial Point Prediction based Block Motion Estimat...

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2007 IEEE International Symposium on Consumer Electronics (ISCE 2007), vol.2

作者： Humaira Nisar Aamir Saeed Malik Tae-Sun Choi Signal and Image Processing Laboratory Gwangju Institute of Science and Technology Gwangju South Korea

A novel, computationally efficient and robust scheme for multiple initial point prediction has been proposed in this paper. A combination of spatial and temporal predictors has been used for initial motion vector prediction, determination of magnitude and direction of motion and search pattern selection. Initially three predictors from the spatio-temporal neighbouring blocks are selected. If all these predictors point to the same quadrant then a simple search pattern based on the direction and magnitude of the final predicted motion vector is selected. However if the predictors belong to different quadrants then we start the search from multiple initial points to get a clear idea of the location of minimum point. In this case a small rood search pattern has been selected. The predictive search center is closer to the global minimum and thus decreases the effect of monotonic error surface assumption and its impact on the motion field. Its additional advantage is that it moves the search closer to the global minimum hence increases the computation speed. Further computational speed up has been obtained by considering the zero motion threshold for no motion blocks, and, specialized rood search pattern. The image quality measured in terms of PSNR also shows good results.

关键词： Motion Estimation Block Matching Motion Vectors Correlation

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Simulation of LIDAR-based aircraft wake vortex detection using a bi-gaussian spectral model

Simulation of LIDAR-based aircraft wake vortex detection usi...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Sebastien Lugan Laurent Bricteux Benoit Macq Piotr Sobieski Gregoire Winckelmans Damien Douxchamps Faculté des Sciences Appliquées Université Catholique de Louvain Belgium Nara Institute of Science and Technology Image Processing Laboratory Japan

A new spectral model of the return signal from a LIDAR Doppler wake vortex detector is proposed. It has been experimentally discovered during ground-based and flight test campaigns but suffered a lack of theoretical evidence. Using high resolution fluid simulations of wake vortices, we highlight the physical meaning of this model. Comparisons with the traditional single Gaussian model show the superiority of this new approach is consistent with previous experimental results.

关键词： Aircraft Atmospheric modeling Laser radar Computational modeling Atmosphere Infrared detectors Wind speed Navier-Stokes equations image processing Laboratories

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Independent Component Analysis of POLSAR images. Relative Newton-Based Approach

Independent Component Analysis of POLSAR Images. Relative Ne...

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IEEE International Conference on signal processing and Communications, ICSPC

作者： Salim Chitroub Rafik Hachemi Electronics and Computer Science Faculty U. S. T. H. B Signal Image Processing Laboratory Algiers Algeria National Institute of Computer Science Algiers Algeria

We propose here a new method for POLSAR image analysis. The method is based on a new PCA-ICA model in which the relative Newton-based approach for performing ICA is developed. The basic idea of ICA with relative Newton method consists in approximating the negentropy by taking account of the orthogonality constraint of the extracted components. This concept is recognized for its robustness and gives consequently very good theoretical results. The approach is well justified from the mathematical point of view. However, its implementation requires being more flexible because of the number of the estimated parameters. The purpose of this paper is to try to open new issues, in future research, in the concern of working out a new method for SAR image analysis that accumulate the advantages of the proposed method while avoiding its disadvantages.

关键词： Independent component analysis Speckle Integrated circuit noise image analysis Newton method Integrated circuit modeling signal processing Laboratories Computer science Principal component analysis

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Camera Calibration for 3D Color Scanning System Using Virtual 3D Model

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Computer Aided Drafting,Design and Manufacturing 2007年第2期17卷 77-81页

作者： SUN Xian-bin LI De-hua YIN Jie YAO Xun State Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Hubei University of Technology Wuhan 430068 China

Instead of traditionally using a 3D physical model with many control points on it, a calibration plate with printed chess grid and movable along its normal direction is implemented to provide large area 3D control points with variable Z values. Experiments show that the approach presented is effective for reconstructing 3D color objects in computer vision system.

关键词： computer vision 3D scan camera calibration calibration plate

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Genes expression level quantification using a spot-based algorithmic pipeline

Genes expression level quantification using a spot-based alg...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Antonis Daskalakis Dionisis Cavouras Panagiotis Bougioukos Spiros Kostopoulos Pantelis Georgiadis Ioannis Kalatzis George Kagadis George Nikiforidis Medical Image Processing and Analysis Group (M.I.P.A.) School of Medicine University of Patras Rio Greece Department of Medical Instruments Technology Technological Educational Institute of Athens Athens Greece Medical Signal and Image Processing Laboratory Department of Medical Instruments Technology Technological Educational Institute of Athens Athens Greece

An efficient spot-based (SB) algorithmic pipeline of clustering, enhancement, and segmentation techniques was developed to quantify gene expression levels in microarray images. The SB-pipeline employed i/a griding procedure to locate spot-regions, ii/a clustering algorithm (enhanced fuzzy c- means or EnFCM) to roughly segment spots from background and estimate background noise and spot's center, iii/an adaptive histogram modification technique to accentuate spot's boundaries, and iv/a segmentation algorithm (Seeded Region Growing or SRG), to extract microarray spots' intensities. Extracted intensities were comparatively evaluated in term of Mean Absolute Error (MAE) against the MAGIC TOOL's SRG employing a dataset of 7 replicated microarray images (6400 spots each). MAE box-plots mean values were 0.254 and 0.630 for the SB-pipeline and the MAGIC TOOL respectively. Total processing times for the dataset evaluated (7 images) were 2100 seconds and 3410 seconds for the SB-pipeline and MAGIC TOOL respectively.

关键词： Genetic expression Pipelines image segmentation Clustering algorithms Biomedical imaging image analysis Fluorescence Noise shaping DNA Sequences

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