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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Jun Xie Weiyao Lin Hongxiang Li Ning Xu Hongyu Gao Lining Zhang Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering North Dakota State University Fargo ND USA

Video enhancement has played very important roles in many applications. However, most existing enhancement methods only focus on the spatial quality within a frame while the temporal qualities of the enhanced video are often unguaranteed. In this paper, a new algorithm is proposed for video enhancement. The proposed algorithm introduces new temporal constraints and combines them with the spatial constraints such that both the spatial and temporal qualities of the video can be improved. Two strategies are proposed for including the temporal constraints. Experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： Histograms Video sequences image color analysis Visualization Signal processing algorithms Color Helium

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A new network-based algorithm for multi-camera abnormal activity detection

A new network-based algorithm for multi-camera abnormal acti...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Hongyu Gao Weiyao Lin Xiaokang Yang Hongxiang Li Ning Xu Jun Xie Yan Li Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering North Dakota State University Fargo ND USA

In this paper, a new abnormal activity detection algorithm is proposed for multi-camera surveillance applications. The proposed algorithm models the entire scene covered by the multi-camera system as a network. In this network, each node corresponds to a segmentation of the entire scene and each edge represents the activity correlation between the corresponding segmentations. Based on this network, the proposed algorithm further models human activities as the signal transmission process in the network. Thus, abnormal activities can be detected if their 'network transmission energy' is obviously larger than the normal case. Compared with the previous methods, the proposed algorithm is more general and is flexible to handle various multi-camera scenarios and configurations. Experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： Cameras Correlation Training Testing Clustering algorithms Algorithm design and analysis Training data

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Finding protein active sites using approximate sub-graph isomorphism

Finding protein active sites using approximate sub-graph iso...

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Middle East Conference on Biomedical Engineering (MECBME)

作者： Mohammad Ebrahim Abbasi Dezfouli Seyed Shahriar Arab Emad Fatemizadeh Najmeh Hosseynimanesh Electrical Engineering Department BiSIPL (Biomedical Image and Signal Processing Lab) Sharif University of Technology Tehran Iran School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran

Prediction of the amino acids that have a catalytic effect on the enzymes is a major stage in appointing the activity of the enzymes and classification. The biological activity of a protein usually depends on the existence of a small number of amino acids. Recently, many algorithms have been proposed in the literature for finding these amino acids which are complex and time consuming. In this paper, we will introduce a new method for predicting the active sites that will use the spatial coordinates and the type of amino acids that contain the active sites. In order to increase the speed we use an approximate graph isomorphism algorithm. Furthermore, this algorithm allows us to find several active sites for a protein and order them according to a RMSD (Root Mean Square Deviation) number which has several applications in biology.

关键词： Proteins Amino acids Approximation algorithms Protein engineering Classification algorithms Databases

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A multi-metric fusion approach to visual quality assessment

A multi-metric fusion approach to visual quality assessment

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International Workshop on Quality of Multimedia Experience, QoMEx

作者： Tsung-Jung Liu Weisi Lin C.-C. Jay Kuo Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute University of Southern California Los Angeles CA USA School of Computer Engineering Nanyang Technological University Singapore

This paper presents a new methodology for objective visual quality assessment with multi-metric fusion (MMF). The current research is motivated by the observation that there is no single metric that gives the best performance scores in all situations. To achieve MMF, we adopt a regression approach. First, we collect a large number of image samples, each of which has a score labeled by human observers and scores associated with different metrics. The new MMF score is set to be the nonlinear combination of multiple metrics with suitable weights obtained by a training process. Furthermore, we divide image distortions into groups and perform regression within each group, which is called “context-dependent MMF” (CD-MMF). One task in CD-MMF is to determine the context automatically, which is achieved by a machine learning approach. It is shown by experimental results that the proposed MMF metric outperforms all existing metrics by a significant margin.

关键词： Measurement Context Noise image edge detection Training Visualization Machine learning

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Geometric construction of energy-minimizing Bézier curves

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Science China(Information Sciences) 2011年第7期54卷 1395-1406页

作者： XU Gang 1,4,5,WANG GuoZhao 2 & CHEN WenYu 2,3 1 institute of Graphics and image,Hangzhou Dianzi University,Hangzhou 310018,China 2 department of mathematics,Zhejiang University,Hangzhou 310027,China 3 School of computer Engineering,Nanyang Technological University,639798,Singapore 4 Galaad,INRIA Sophia-Antipolis,2004 Route des Lucioles,06902,France 5 State Key Lab of CAD & CG,Zhejiang University,Hangzhou 310027,China 1. Institute of Graphics and Image Hangzhou Dianzi University Hangzhou 310018 China4. Galaad INRIA Sophia-Antipolis 2004 Route des Lucioles 06902 Sophia Antipolis France5. State Key Lab of CAD & CG Zhejiang University Hangzhou 310027 China2. Department of Mathematics Zhejiang University Hangzhou 310027 China3. School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

Modeling energy-minimizing curves have many applications and are a basic problem of Geometric *** this paper,we propose the method for geometric design of energy-minimizing B′ezier ***,the necessary and sufficient condition on the control points for B′ezier curves to have minimal internal energy is *** on this condition,we propose the geometric constructions of three kinds of B′ezier curves with minimal internal energy including stretch energy,strain energy and jerk *** some control points,the other control points can be determined as the linear combination of the given control *** compare the three kinds of energy-minimizing B′ezier curves via curvature combs and curvature plots,and present the collinear properties of quartic energy-minimizing B′ezier *** also compare the proposed method with previous methods on efficiency and ***,several applications of the curve generation technique,such as curve interpolation with geometric constraints and modeling of circle-like curves are discussed.

关键词： curve design minimal energy geometric construction interpolation with constraints circle-like curves

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Mass-preserving motion correction of PET: Displacement field vs. spline transformation

Mass-preserving motion correction of PET: Displacement field...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Fabian Gigengack Lars Ruthotto Martin Burger Carsten H. Wolters Xiaoyi Jiang Klaus P. Schäfers European Institute for Molecular Imaging (EIMI) and the Department of Mathematics and Computer Science University of Münster Germany Institute of Mathematics and Image Computing (MIC) University of Lübeck Germany Computational and Applied Mathematics University of Münster Germany Institute for Biomagnetism and Biosignalanalysis University of Münster Germany Department of Mathematics and Computer Science University of Münster Germany European Institute for Molecular Imaging (EIMI) University of Münster Germany

In Positron Emission Tomography (PET), motion due to the cardiac and respiratory cycle causes blurred images. Different approaches for motion correction in PET vary in the general concept (optical flow or image registration) or, e.g., in the discretization of motion. Given our mass-preserving transformation model, we evaluate different motion models in this work: dense displacement field (compute for each voxel an individual displacement) vs. spline transformation (i.e. free-form deformation). Thereby a focus is put on the parametrization of the spline transformations where we optimize the number of spline coefficients and the regularization parameter. We make a quantitative comparison of the motion estimates of the different motion models based on data of the established XCAT software phantom. For both motion models (Displacement Field (DF) and Spline Transformation (ST)) the registration results are evaluated by 1) the total processing time and 2) the Euclidean distance to the ground-truth vectors provided by the XCAT phantom. We found that the spline transformation model is superior to the displacement field strategy in terms of processing time and accuracy.

关键词： Positron emission tomography Software Spline Accuracy

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Traffic speed measurement using Spatio-Temporal model and frequency domain analysis

Traffic speed measurement using Spatio-Temporal model and fr...

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International Conference on Electrical Engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Arucha Rungchokanun Vutipong Areekul Supakorn Siddhichai Hiroaki Kunieda Kasetsart Signal & Image Processing Laboratory (KSIP Lab) Department of Electrical Engineering Kasetsart University Thailand Image Technology Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Department of Communication and Integrated Systems Tokyo Institute of Technology Meguro Tokyo Japan

In traffic monitoring applications, traffic speed is an important parameter of traffic management. The method for traffic speed measurement using video based on Spatio-Temporal (ST) model and frequency domain analysis is proposed in this paper. This method is designed to be able to measure the traffic speed in every pattern of road. The novel of proposed method is unfolding the edge information on ST model and analyse them in frequency domain to determine traffic speed. The proposed method is evaluated by compare with actual speed. The traffic speed is measured accurately 97.1%.

关键词： Analytical models Sensors Pixel image sensors Monitoring

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3D MODELING OF DENSE PACKINGS OF BENDED FIBERS

3D MODELING OF DENSE PACKINGS OF BENDED FIBERS

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第十三届国际体视学大会

作者： Hellen Altendorf Dominique Jeulin Mines Paris Tech.Centre de Morphologie Mathématique Mathématiques et Systèmes FontainebleauFrance Fraunhofer Institute for Industrial Mathematics(ITWM).Department of Image Processing KaiserslauternGermany

The increasing interest in fibrous materials(as glass or carbon fiber reinforced composites) necessitates the development of quantitative *** macroscopic properties of these materials are highly influenced by the geometry of the fiber component,in particular by the direction *** virtual material design material properties can be optimized by adapting the direction distribution *** this end we need a parametric stochastic model for the fiber *** of the existing approaches model fibers as cylinders(dilated Poisson line process,random sequential absorption for cylinders or falling cylinder simulation),which limits the material to straight fiber segments as *** ***,carbon fiber reinforced polymers or non-woven with high fiber volume fraction and non-overlapping,bending fibers request more complex stochastic models.

关键词： stochastic modeling mathematical morphology multivariate von mises-fisher distribution random walk force-biased fiber packing

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Capacity of Multicarrier Multilayer Broadcast and Unicast Hybrid Cellular System with Independent Channel Coding over Subcarriers

Capacity of Multicarrier Multilayer Broadcast and Unicast Hy...

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IEEE Conference on Vehicular Technology (VTC)

作者： Siqian Liu Hongxiang Li Guanying Ru Weiyao Lin Lingjia Liu Yang Yi Electrical and Computer Engineering Department North Dakota State University USA Electrical and Computer Engineering Department University of Louisville USA Institute of Image Communication and Information Processing Shanghai Jiao Tong University China Electrical Engineering and Computer Science Department University of Kansas Lawrence KS USA Technology Design Integration Department Texas Instruments Inc. Dallas TX USA

In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive the capacity region and provide conditions to achieve its boundary. The simulation results show that the hybrid capacity regions are considerably higher than those of the traditional time division multiplexing scheme.

关键词： Unicast HDTV Broadcasting Simulation Time division multiplexing USA Councils

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Robust object detection on video surveillance

Robust object detection on video surveillance

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International Joint Conference on computer Science and Software Engineering (JCSSE)

作者： Nuttapong Chaiyawatana Bunyarit Uyyanonvara Toshiaki Kondo Premnath Dubey Yoshinori Hatori Communication Technology Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand Image Teclmology Laboratory National Electronics and Computer Technology Center and Technology Development Agency (NSTDA) Pathum Thani Thailand Department of Information Processing Tokyo Institute of Technology Yokohama Japan

The process of the alternative functioning of the surveillance system has been discussed in this paper along with software implementation at a low cost. A frame subtraction technique has been applied, which projects a moving object in consideration to be in current view, while subtraction of the current and the previous frame image reaches a certain threshold. Auto detect system has been suggested to detect vehicles to consider its performance. Information is processed from the surveillance camera where data will be analyzed and sent to the central processing unit.

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