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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Audrius Jurgelionis Francesco Bellotti Alessandro De Gloria Jukka-Pekka Laulajainen Philipp Fechteler Peter Eisert Haggai David Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy Universita degli Studi di Genova Genova Liguria IT Converging Networks Laboratory VTT Technical Research Center of Finland Oulu Finland Computer Vision & Graphics Fraunhofer-Institute for Telecommunications Berlin Germany Computer Vision & Graphics Image Processing Department Heinrich-Hertz-Institute Fraunhofer Institute of Telecommunications Berlin Germany Converging Networks Laboratory VTT Technical Research Centre of Finland Oulu Finland R&D Department Exent Technologies Ltd. Petach Tikva Israel

In this paper we present a new cross-platform approach for video game delivery in wired and wireless local networks. The developed 3D streaming and video streaming approaches enable users to access video games on set top boxes and handheld devices that natively are not capable to run PC games. During the development of the distributed gaming system we have faced a number of challenges and problems posed by the hardware and network limitations. In order to solve these problems we have developed a multilevel testing methodology which is based on user assessment and technical measures for the system under development. In this paper we focus on the technical measures and instrumentation that we use for the system's performance measurement and testing. The benefits of our testing methodology are demonstrated through examples from the development and testing work.

关键词： Streaming media Games Wireless LAN System testing computer graphics Hardware Cloud computing Delay image coding computer architecture

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Restoration of out of focus barcode images using Wiener filter

Restoration of out of focus barcode images using Wiener filt...

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5th International Conference on Signal-image Technology and Internet-Based Systems, SITIS 2009

作者： Addiati, D. Sheikh, U.U. Abu Bakar, S.A.R. Computer Vision Video and Image Processing Laboratory Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Malaysia

ISBN: (纸本)9780769539591

Barcode capturing using embedded camera in mobile phone is prone to producing images with out of focus blurring. Barcode decoding systems usually fail to decode barcodes from an image that is affected by image blurring. With macro function, users are able to capture sharp barcodes. Unfortunately, low end and mid range cameras usually do not have macro function which enables close range image capturing. To improve barcode recognition, we propose a technique to restore barcode images before the decoding process. First, we identify and calculate the point spread function (PSF) parameter and radius of the blur in Cepstrum domain. Then we restore the degraded image using Wiener filter. Experiments on both synthetic and real images show that our technique is adept in estimating the radius of the blur. The Wiener filter gives satisfactory result when it is used to restore blurred images with the acquired PSF from the preceding step. © 2009 IEEE.

关键词： image reconstruction

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Improved rice algorithm of lossless compression for on-board images

Improved rice algorithm of lossless compression for on-board...

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International Conference on Multimedia Technology

作者： Wei, Yong-Wang Ding, Qing-Hai Luo, Hai-Bo Shenyang Institute of Automation Chinese Academy of Science Shenyang 110016 China Graduate School of Chinese Academy of Science Beijing 100049 China Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Science Shenyang 110016 China Key Laboratory of Image Understanding and Computer Vision Liaoning Province 110016 China Electrical and Information Engineering College Beihua University Jilin 132021 China Research Institute of General Development and Demonstration of Equipment Equipment Academy of Air Force Beijing100076 China

ISBN: (纸本)9781424478743

Aiming at the problems of the relatively lower compression ratio and the difficulty in hardware implementation regarding Rice lossless compression algorithm for the Space-borne Remote-sensing images, an improved Rice method is proposed in which the length of predictor FIFO is determined by the size of input images and the global unicode for differences is used. The improved Rice algorithm is mainly composed of two steps, MED prediction for the whole row data and Rice global uniform entropy coding. The statistical results show that it can significantly reduce the spatial redundancy of the adjacent pixels and the mean value of image differences. The compression bit rate is reduced approximately 0.4581 bpp(bit/pixel) against the original Rice algorithm. Furthermore, the new way reserves the all detail information of the input images throughout the whole encoding process. Because we split the all samples with the same mode, the proportion of the identifier of the splitting mechanic in the output data stream is reduced and the compression ratio is increased. The improvement can reduce the encoding complexity and be easily implemented for hardware application. ©2010 IEEE.

关键词： Signal encoding

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Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system

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IEEE Transactions on Intelligent Transportation Systems 2009年第1期10卷 70-82页

作者： Cherng, Shen Fang, Chiung-Yao Chen, Chia-Pei Chen, Sei-Wang Department of Computer Science and Information Engineering Chengshiu University Kaohsiung 833 Taiwan Laboratory for Computer Vision and Image Processing Department of Computer Science and Information Engineering National Taiwan Normal University Taipei 116 Taiwan Chunghwa Telecom Laboratories Taoyuan 32617 Taiwan

Driving always involves risk. Various means have been proposed to reduce the risk. Critical motion detection of nearby moving vehicles is one of the important means of preventing accidents. In this paper, a computational model, which is referred to as the dynamic visual model (DVM), is proposed to detect critical motions of nearby vehicles while driving on a highway. The DVM is motivated by the human visual system and consists of three analyzers: 1) sensory analyzers, 2) perceptual analyzers, and 3) conceptual analyzers. In addition, a memory, which is called the episodic memory, is incorporated, through which a number of features of the system, including hierarchical processing, configurability, adaptive response, and selective attention, are realized. A series of experimental results with both single and multiple critical motions are demonstrated and show the feasibility of the proposed system. © 2006 IEEE.

关键词： Motion analysis

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Generalised ambient reflection models for Lambertian and Phong surfaces

Generalised ambient reflection models for Lambertian and Pho...

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IEEE International Conference on image processing

作者： Xiaozheng Zhang Yongsheng Gao Computer Vision and Image Processing Laboratory Griffith University Brisbane Australia

Ambient reflection is widely present in many applications of computer graphics and image processing, which is traditionally modelled as a constant free from environmental factors. This paper reconsiders ambient reflection modelling of Lambertian and Phong surfaces and calculates it as reflection integrations of infinitesimal incident beams from the environment. It reveals that ambient reflection exists in variable forms for Lambertian surfaces of non-convex objects and Phong surfaces of all objects. For convex objects with Lambertian surfaces, ambient reflectance coefficient is actually the diffuse reflectance coefficient. Generalised ambient reflection models are proposed to calculate ambient reflection using the same reflection model as used in calculation of other reflections. Based on this analysis, new ambient reflection formulations of Lambertian and Phong surfaces are derived to enable efficient computations in computer graphics and image processing.

关键词： Optical reflection Reflectivity Lighting image processing Surface treatment Light sources computer graphics Layout Face recognition Geometry

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Labelling color images by modelling the colors density using a linear combination of Gaussians and EM algorithm

Labelling color images by modelling the colors density using...

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IEEE International Conference on image processing

作者： Asem M. Ali Amal A. Farag Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY

Parametric density estimation is widely used to solve many image processing problems. We examined the parametric estimation using linear combination of 1D Gaussians in many works. In this work, we extend our model to estimate density of the colors in color images. We approximate the marginal density of each class in the empirical probability density function by a 3D Gaussian distribution. Then, the deviation between the estimated and the empirical densities is modelled using a linear combination of 3D Gaussians with positive and negative components. We estimate the parameters of this model using our modified EM algorithm. The proposed framework demonstrates very promising experimental results of color images labelling and can be integrated with many other frameworks.

关键词： Labeling Color Gaussian processes Function approximation Probability density function image processing Gaussian distribution Parameter estimation image segmentation Gaussian approximation

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Segmentation of trabecular bones from Vertebral bodies in volumetric CT spine images

Segmentation of trabecular bones from Vertebral bodies in vo...

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IEEE International Conference on image processing

作者： Melih S. Aslan Asem Ali Ben Arnold Rachid Fahmi Aly A. Farag Ping Xiang Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Image Analysis Inc. Columbia KY USA

We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, the cortical and trabecular bones are subsequently segmented using graph cuts method and local volume growing methods separately. In the final step, we measure our segmentation accuracy for each method. Validity was analyzed using ground truths of data sets and the European Spine Phantom (ESP). Preliminary results are very encouraging and a reproducibility of the results was achieved for 16 data sets. The average segmentation error is below 2.0% for both methods.

关键词： image segmentation Cancellous bone Computed tomography Spine Minerals Density measurement Imaging phantoms Electrostatic precipitators Labeling Timing

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A variational framework for 3D colonic polyp visualization in virtual colonoscopy

A variational framework for 3D colonic polyp visualization i...

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IEEE International Conference on image processing

作者： Dongqing Chen Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Jewish Hospital Louisville KY USA Division of Gastroenterology/Hepatology University of Louisville Louisville KY USA

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image pre-processing, is important for colonic polyp detection/ diagnosis, feature extraction and classification. This paper introduces a general variational approach based framework for a computer aided diagnosis system for colorectal cancer. It includes techniques for 3D colon segmentation, 3D colon object reconstruction by iso-surface generation, and 3D centerline extraction. The proposed framework has been validated on 22 real CT colonography datasets.

关键词： Colonic polyps Visualization Virtual colonoscopy Cancer Colon Colonography image segmentation Optical computing Computed tomography image reconstruction

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Accurate and fast 3D colon segmentation in CT colonography

Accurate and fast 3D colon segmentation in CT colonography

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IEEE International Symposium on Biomedical Imaging

作者： Dongqing Chen Rachid Fahmi Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Department of Medical Imaging Jewish Hospital and Saint Marys Healthcare Louisville KY USA Division of Gastroenterology/Hepatology Department of Medicine University of Louisville Louisville KY USA

ISBN: (纸本)9781424439317

This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liquid is removed by a threshold value. The closed contours are propagated toward the desired 3D region boundaries through the iterative evolution of the adaptive level sets function. The proposed method has been tested on 22 real CT colonography datasets with various pathologies, and the segmentation accuracy has achieved 98.40%.

关键词： Colonography Colon Virtual colonoscopy Cancer image segmentation Colonic polyps Level set Deformable models Computed tomography Visualization

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Analytical method for MGRF Potts model parameter estimation

Analytical method for MGRF Potts model parameter estimation

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作者： Ali, Asem M. Farag, Aly A. Gimel'farb, Georgy Computer Vision and Image Processing Laboratory University of Louisville United States Department of Computer Science University of Auckland New Zealand

ISBN: (纸本)9781424421756

This paper proposes a new analytical method for estimating parameters of a homogeneous isotropic Potts model with an asymmetric Gibbs potential function. The model is generalized by including both pairwise and triple cliques. The maximum likelihood estimates of the cliques potentials are obtained by a further elaboration of the approximate analytical estimator proposed in [8]. Experiments with synthetic textures have shown that our potential estimates are more accurate and practicable than their counterparts obtained with classical methods. © 2008 IEEE.

关键词： Potts model

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