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IEEE Global Communications Conference

作者： Tuan T. Tran Hongxiang Li Weiyao Lin Lingjia Liu Samee U. Khan Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville Institute of Image Communication and Information Processing Shanghai Jiaotong University Department of Electrical Engineering and Computer Science The University of Kansas Department of Electrical and Computer Engineering North Dakota State University

ISBN: (纸本)9781467309202

Network coding offers a promising platform for multicast transmission by approaching its min-cut capacity. However, pushing the network throughput toward this upper bound comes with a sacrifice in delivery delay due to the decoding procedure that requires performing batch of coded packets. Further, in some transmission scenarios where the receivers experience deep fading or unable to collect a full set of the transmitted data, no useful information is recovered. The effect is more severe in the networks where the transmitted information has priority structure with hard deadline constraint due to the limited delivery time and data interdependencies. In this paper, we consider single-hop wireless networks where the transmitter wishes to multicast hard deadline constrained prioritized data to many receivers over lossy channels. We first study the network performance of a variety of transmission techniques, depending on how the transmitter schedules transmission in each time slot. We then propose an adaptive encoding and scheduling technique to maximize the network throughput. To find the optimal transmission scheduling at the presence of the network dynamics, we cast the problem in the framework of Markov Decision Processes (MDP) and use backward induction method to find an optimal solution. We further propose simulation-based algorithm and greedy scheduling technique that obtain high performance with much lower time complexity. Both analytical and simulation results have been provided to corroborate the effectiveness of the proposed techniques.

关键词： Multicast Hard deadline constraint Prioritized transmission Adaptive scheduling Network coding adaptive scheduling Network coding Multicast Network throughput Adaptive coding deep fading Transmission techniques

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Coral reef mosaicking using Teardrop and Fast image Labeling

Coral reef mosaicking using Teardrop and Fast Image Labeling

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OCEANS - Europe

作者： Francis James Corpuz Prospero Naval Eusebio Capili Jaylord Jauod Roel John Judilla Maricor Soriano Vision and Image Processing Group Instrumentation Physics Laboratory National Institute of Physics Computer Vision and Machine Intelligence Group Department of Computer Science College of Engineering University of Philippines Quezon Philippines Computer Vision and Machine Intelligence Group Department of Computer Science College of Engineering University of Philippines Quezon Philippines Mapua Robotics Center Special Projects Laboratory Institutional Laboratory Mgmt Office Mapua Institute of Technology Manila Philippines Vision and Image Processing Group Instrumentation Physics Laboratory National Institute of Physics University of Philippines Quezon Philippines

In this paper, we present an inexpensive system for diverless video capture and fast image stitching of image frames for rapid reef assessment of shallow coral reefs. Our system has two main components: 1) Teardrop, a boat-towable, winged hull apparatus designed to house a commercial digital camera, and 2) a mosaicking algorithm to stitch the coral reef video into mosaics for further appreciation and analysis. The captured reef video is then separated into image frames which are to be stitched sequentially using Fast image Labeling. The overlap between image frames is estimated using Single-Step DFT, an efficient sub-pixel estimation algorithm. The estimated overlap is used to compute for the area to be added to the mosaic space. The overlapping section between succeeding image-pairs are stitched along a seam determined by a minimal-cost path using dynamic programming. The visibility of the seam boundaries is further minimized by utilizing blending on multi-resolution splines. Experimental results on automated reef mosaics creation from actual coral reef video taken using Teardrop shows the performance of the system described. The main contribution of this work is the demonstration of a rapid reef visualization system using a diverless system and commercially available, non-research-grade imaging equipment.

关键词： image segmentation Sea measurements Cameras Labeling Discrete Fourier transforms Sea floor

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Detection of B-Mode Polarization in the Cosmic Microwave Background with Data from the South Pole Telescope

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Physical Review Letters 2013年第14期111卷 141301-141301页

作者： D. Hanson S. Hoover A. Crites P. A. R. Ade K. A. Aird J. E. Austermann J. A. Beall A. N. Bender B. A. Benson L. E. Bleem J. J. Bock J. E. Carlstrom C. L. Chang H. C. Chiang H-M. Cho A. Conley T. M. Crawford T. de Haan M. A. Dobbs W. Everett J. Gallicchio J. Gao E. M. George N. W. Halverson N. Harrington J. W. Henning G. C. Hilton G. P. Holder W. L. Holzapfel J. D. Hrubes N. Huang J. Hubmayr K. D. Irwin R. Keisler L. Knox A. T. Lee E. Leitch D. Li C. Liang D. Luong-Van G. Marsden J. J. McMahon J. Mehl S. S. Meyer L. Mocanu T. E. Montroy T. Natoli J. P. Nibarger V. Novosad S. Padin C. Pryke C. L. Reichardt J. E. Ruhl B. R. Saliwanchik J. T. Sayre K. K. Schaffer B. Schulz G. Smecher A. A. Stark K. T. Story C. Tucker K. Vanderlinde J. D. Vieira M. P. Viero G. Wang V. Yefremenko O. Zahn M. Zemcov Department of Physics McGill University Montreal Quebec H3A 2T8 Canada Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Enrico Fermi Institute University of Chicago Chicago Illinois 60637 USA Department of Astronomy and Astrophysics University of Chicago Chicago Illinois 60637 USA School of Physics and Astronomy Cardiff University Cardiff CF24 3YB United Kingdom University of Chicago Chicago Illinois 60637 USA Department of Astrophysical and Planetary Sciences CASA University of Colorado 389 UCB Boulder Colorado 80309 USA National Institute of Standards and Technology Boulder Colorado 80305 USA Department of Physics University of Chicago Chicago Illinois 60637 USA California Institute of Technology Pasadena California 91125 USA Jet Propulsion Laboratory Pasadena California 91109 USA High Energy Physics Division Argonne National Laboratory Argonne Illinois 60439 USA School of Mathematics Statistics and Computer Science University of KwaZulu-Natal Durban 4000 South Africa Department of Physics University of California Berkeley California 94720 USA Department of Physics University of Colorado Boulder Colorado 80309 USA Department of Physics University of California Davis California 95616 USA Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Department of Physics and Astronomy University of British Columbia Vancouver British Columbia V6T 1Z1 Canada Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Physics Department Case Western Reserve University Cleveland Ohio 44106 USA Materials Science Division Argonne National Laboratory Argonne Illinois 60439 USA Department of Physics University of Minnesota Minneapolis Minnesota 55455 USA Liberal Arts Department School of the Art Institute of Chicago Chicago Illinois 60603 USA Infrared Processing and Analysis Center California Institute of Technology JPL Pasadena California 91125 USA Ha

Gravitational lensing of the cosmic microwave background generates a curl pattern in the observed polarization. This “B-mode” signal provides a measure of the projected mass distribution over the entire observable Universe and also acts as a contaminant for the measurement of primordial gravity-wave signals. In this Letter we present the first detection of gravitational lensing B modes, using first-season data from the polarization-sensitive receiver on the South Pole Telescope (SPTpol). We construct a template for the lensing B-mode signal by combining E-mode polarization measured by SPTpol with estimates of the lensing potential from a Herschel-SPIRE map of the cosmic infrared background. We compare this template to the B modes measured directly by SPTpol, finding a nonzero correlation at 7.7σ significance. The correlation has an amplitude and scale dependence consistent with theoretical expectations, is robust with respect to analysis choices, and constitutes the first measurement of a powerful cosmological observable.

关键词： POLARIZATION (Nuclear physics) RESEARCH COSMIC background radiation GRAVITATIONAL lenses COSMOLOGY

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Pipeline for motion correction in dual gated PET

Pipeline for motion correction in dual gated PET

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Fabian Gigengack Lars Ruthotto Thomas Kösters Xiaoyi Jiang Jan Modersitzki Martin Burger Carsten H. Wolters 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 Department of Mathematics and Computer Science University of Münster Germany Institute for Computational and Applied Mathematics University of Münster Germany Institute for Biomagnetism and Biosignalanalysis University of Münster Germany European Institute for Molecular Imaging (EIMI) University of Münster Germany

The aim of this work is to present an advanced motion correction pipeline for dual gating based on motion compensation. The pipeline is robust against noise and uses the whole statistic for the final image. We extend motion compensation by motion compensated reconstructions which allow a much finer dual gating for maximal reduction of motion artifacts. Further, mass-preserving motion estimation based on spline transformations is performed motion estimation.

关键词： Logic gates Jacobian matrices Integrated circuits Diseases Electrocardiography

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Atlas-Based Segmentation Using Passive Contours

Atlas-Based Segmentation Using Passive Contours

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IEEE Nuclear Science Symposium and Medical Imaging Conference

作者： Fabian Gigengack Lars Ruthotto Thomas Kosters Xiaoyi Jiang Jan Modersitzki Martin Burger Sven Hermann Klaus P. Schafers 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. Department of Mathematics and Computer Science University of Münster Germany. Institute for Computational and Applied Mathematics University of Münster Germany. European Institute for Molecular Imaging (EIMI) University of Münster Germany.

I. Introduction Quantitative evaluation of positron emission tomography (PET) images is challenging, e.g., due to the limited spatial resolution and low signal-to-noise ratio. The segmentation of organs is hence neces... 详细信息

ISBN: (纸本)9781467320283

关键词： PET Passive Contours Atlas-Based

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Moving shadow detection by nonlinear Tone-Mapping

Moving shadow detection by nonlinear Tone-Mapping

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International Conference on Systems, Signals and image processing, IWSSIP

作者： Elad Bullkich Idan Ilan Yair Moshe Yacov Hel-Or Hagit Hel-Or Signal and Image Processing Laboratory (SIPL) Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel Google Inc. Mountain View USA Department of Computer Science University of Haifa Haifa Israel

Shadow detection is a well-known problem in image and video processing. Detecting moving shadows is useful in numerous applications such as object detection and tracking. Most works in this area are not suitable for shadow detection using a low-cost outdoor surveillance camera. In this work we suggest a fast shadow detection approach for video surveillance, by comparing each video frame to a continuously updated background image. We differentiate shadow areas from foreground areas by assuming the shadow pixels are associated with background pixels through a nonlinear tone mapping. This assumption is general and applies to various systems and scene conditions. A distance measure between patch images that account for nonlinear tone mapping is calculated by adapting a recently suggested approach for pattern matching termed Matching by Tone Mapping (MTM). We show that the proposed technique is computationally efficient and outperforms state-of-the-art shadow detection techniques in typical surveillance scenarios.

关键词： Surveillance Measurement image color analysis Cameras Robustness Lighting

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Planar surface area calculation using camera and orientation sensor

Planar surface area calculation using camera and orientation...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Surangrak Sutiworwan Miti Ruchanurucks Pongthorn Apiroop Supakorn Siddhichai Thitiporn Chanwimaluang Makoto Sato ICT for Embedded System Faculty of Engineering Kasetsart University Thailand Huawei Technologies Company Limited Thailand Image Processing Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Precision and Intelligence Laboratory Department of Information Processing Tokyo Institute of Technology Tokyo Japan

This research proposes a scheme of area calculation system, focusing on image warping to top view. The sensor attached to camera is used to compensate the camera's orientation in real time. One constraint is that the calculated area is planar surface. In practice, the alignment of sensor and camera is imperfect. This error makes the calculated area size inaccurate. Therefore, calibration between camera and sensor is required by using Iterative Least Square method. Then, the extrinsic parameters derived from calibrated sensor and pre-computed intrinsic parameter will be used to generate a homography matrix. In top view image, we can directly count the number of target pixel. Finally, we will also find the relationship between rotation angle and size of each pixel in real-world unit with calculating percentage accuracy of this method. The experimental results show top view target area size generated from the tilted camera using information from the orientation sensor in real time.

关键词： Cameras Calibration Accuracy Real-time systems Conferences Agriculture Equations

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Editorial: Innovative researches on image processing

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International Journal of Innovative Computing and Applications 2012年第3-4期4卷 133-134页

作者： Conci, Aura Paciornik, Sidnei Computer Science Department Computer Institute - IC Federal Fluminense University - UFF Niteroái Rio de Janeiro 24 210 - 240 Brazil Digital Image Processing Laboratory - LPDI Department of Materials Engineering - DEMa Catholic University of Rio de Janeiro - PUC-Rio Rio de Janeiro RJ 22451-900 Brazil

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Object contour tracking using multi-feature fusion based particle filter

Object contour tracking using multi-feature fusion based par...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Xiaofeng Lu Li Song Songyu Yu Nam Ling School of communication and information engineering Shanghai University Shanghai China Institute of Image Communication and Information Processing Shanghai Jiaotong University Shanghai China Department of Computer Engineering Santa Clara University Santa Clara CA USA

In this paper, a novel object contour tracking framework integrating independent multi-feature fusion object rough location and region-based temporal differencing model is proposed. In our model, the object rough location tracking is realized by color histogram and Harris corner features fusion method in particle filter framework. Thus it can achieve more robust tracking performance in many challenge scenes. And this particle filter framework is based on our previous CamShift guided particle filter [7]. With the rough object location, efficient region-based temporal differencing model is adopted for object contour detection, then this method is faster and more effective compared to active contour models or conventional global temporal differencing models. Moreover, exact contour tracking result can be used to guide the particle propagation of next frame, to enable more efficient particle redistributions and reducing particle degeneration. Experimental results demonstrate that this proposed method is simple but effective in object location and contour tracking.

关键词： Particle filters Video sequences Lighting Computational modeling image color analysis Color

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Hippocampal shape analysis in the Laplace Beltrami feature space for temporal lobe epilepsy diagnosis and lateralization

Hippocampal shape analysis in the Laplace Beltrami feature s...

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IEEE International Symposium on Biomedical Imaging

作者： Rosita Shishegar Ziba Gandomkar Hamid Soltaman-Zadeh Seyed Reza Moghadasi Control and Intelligent Processing Centre of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Department of Mathematics Sharif University of Technology Tehran Iran

Shape analysis plays an important role in many medical imaging studies. One of the recent shape analysis methods uses the Laplace Beltrami operator which is also used in this paper for hippocampal shape comparison. We proposed a feature vector which consists of size measures and shape descriptors based on Laplace Beltrami eigenvalues and eigenfunctions. The aforementioned feature space is utilised for automatic differentiating normal subjects from epileptic patients as well as distinguishing epileptic patients with left temporal lobe epilepsy (LTLE) from patients with right temporal lobe epilepsy (RTLE). Achieved results are diagnostic accuracy of 93% with 95% sensitivity and lateralization accuracy of 86%. The results are comparable to spherical harmonic based shape analysis results and notably improved in comparison to volumetric analysis results.

关键词： Shape Temporal lobe Epilepsy Abstracts Indexes Eigenvalues and eigenfunctions Feature extraction

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