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3rd International Emerging Computational Methods for the Life sciences Workshop, ECMLS 2012

作者： Waechter, Michael Jaeger, Kathrin Weissgraeber, Stephanie Widmer, Sven Goesele, Michael Hamacher, Kay Interactive Graphics Systems Group Dept. of Computer Science TU Darmstadt Darmstadt Germany Bioinformatics Group Department of Biology TU Darmstadt Darmstadt Germany Bioinformatics Group Depts. of Biology Physics and Computer Science TU Darmstadt Darmstadt Germany

ISBN: (纸本)9781450313391

We present a massively-parallel implementation of the computation of (co)evolutionary signals from biomolecular sequence alignments based on mutual information (MI) and a normalization procedure to neutral evolution. The MI is computed for two- and three-point correlations within any multiple-sequence alignment. The high computational demand in the normalization procedure is efficiently met by an implementation on graphics Processing Units (GPUs) using NVIDIA's CUDA framework. GPU computation serves as an enabling technology here insofar as MI normalization is also possible using traditional computational methods but only GPU computation makes MI normalization for sequence analysis feasible in a statistically sufficient sample and in acceptable time. In particular, the normalization of the MI for three-point 'cliques' of amino acids or nucleotides requires large sampling numbers in the normalization, that can only be achieved using GPUs. We illustrate a) the computational efficiency and b) the biological usefulness of two- and three-point MI by an application to the well-known protein calmodulin. Here, we find striking coevolutionary patterns and distinct information on the molecular evolution of this molecule. © 2012 ACM.

关键词： graphics processing unit

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Graph-based combinations of fragment descriptors for improved 3D object retrieval 12

Graph-based combinations of fragment descriptors for improve...

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3rd ACM Multimedia Systems Conference, MMSys'12

作者： Schreck, Tobias Scherer, Maximilian Walter, Michael Bustos, Benjamin Yoon, Sang Min Kuijper, Arjan Data Analysis and Visualization Group University of Konstanz Germany Interactive Graphics Systems Technische Universität Darmstadt Germany KDW+PRISMA Department of Computer Science University of Chile Chile Yonsei Institute of Convergence Technology Yonsei University Korea Republic of Fraunhofer Institute for Computer Graphics Research Darmstadt Germany

ISBN: (纸本)9781450311311

3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of research attention, with many different extraction algorithms proposed. In previous work, we have introduced a simple but effective scheme for 3D model retrieval based on a spatially fixed combination of 3D object fragment descriptors. In this work, we propose a novel flexible combination scheme based on finding the best matching fragment descriptors to use in the combination. By an exhaustive experimental evaluation on established benchmark data we show the capability of the new combination scheme to provide improved retrieval effectiveness. The method is proposed as a versatile and inexpensive method to enhance the effectiveness of a given global 3D descriptor approach. © 2012 ACM.

关键词： Self organizing maps

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Evaluation of fast 2D and 3D medical image retrieval approaches based on image miniatures

Evaluation of fast 2D and 3D medical image retrieval approac...

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2nd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2011

作者： Donner, René Haas, Sebastian Burner, Andreas Holzer, Markus Bischof, Horst Langs, Georg Computational Image Analysis and Radiology Lab. Department of Radiology Medical University of Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Austria Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9783642284595

The present work evaluates four medical image retrieval approaches based on features derived from image miniatures. We argue that due to the restricted domain of medical image data, the standardized acquisition protocols and the absence of a potentially cluttered background a holistic image description is sufficient to capture high-level image similarities. We compare four different miniature 2D and 3D descriptors and corresponding metrics, in terms of their retrieval performance: (A) plain miniatures together with euclidean distances in a k Nearest Neighbor based retrieval backed by kD-trees;(B) correlations of rigidly aligned miniatures, initialized using the kD-tree;(C) distribution fields together with the l1-norm;(D) SIFT-like histogram of gradients using the χ2-distance. We evaluate the approaches on two data sets: the ImageClef 2009 benchmark of 2D radiographs with the aim to categorize the images and a large set of 3D-CTs representing a realistic sample in a hospital PACS with the objective to estimate the location of the query volume. © 2012 Springer-Verlag.

关键词： Medical imaging

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A new parallelizable deformation method: Automatic comparision between foot and last

A new parallelizable deformation method: Automatic comparisi...

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1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012

作者： Buades, J.M. Gonzalez-Hidalgo, M. Perales, Francisco J. Ramis-Guarinos, S. Oliver, A. Blanch, V. Computer Graphics Vision and Artificial Intelligence Group Department of Math. and Comp. Science University of Balearic Island Crta. Valldemossa E-07122 Palma de Mallorca Spain

ISBN: (纸本)9789898425980

This document shows the research project developed by the computer graphics and Vision Group in collaboration with Inescop. The main objective of this project is to define a new methodology to design shoes exactly adapted to the shape foot. The system proposed is based on a biomechanical anatomical structure of the foot and using a deformable shape. Using with several joints adapted the different foots to different shoe last evaluating the error between the surfaces. The system is automatic driven in the selection of significant foot points. We consider several anthropometrical parts of the foot in order to apply the deformations of the shape with different axis. The proposed system is implemented in software. An associated Application Programming Interface (API) is also developed for commercial use of the system. Also the results presented evaluate the error between deformations.

关键词： Deformation

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TSM resilient audio watermarking using IMFs

TSM resilient audio watermarking using IMFs

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Canadian Conference on Electrical and computer Engineering (CCECE)

作者： Saif AlZahir Md Wahedul Islam Image Processing and Graphics Laboratory Computer Science Department UNBC BC Canada

With widespread of the Internet as well as the numerous applications that involve audio signals and systems, the issue of ownership proof become imperative. In this paper, we present an audio watermark scheme that is based on Empirical Mode Decomposition and Hilbert Huang Transform. The audio signal is decomposed into several mono-component signals or Intrinsic Mode Functions to serve as the addressee for watermark. The watermark is a pseudo random number which is added to the highest and lowest Intrinsic Mode Functions of the signal to generate what we call the modified IMFs which is in turn added to the remaining IMFs to produce the watermarked signal. Our experimental results show that the proposed method is robust against signal processing attacks such as MP3, time scale modification, resizing, and others. The obtained results meet the recommended imperceptibility signal to noise ratio.

关键词： Watermarking Robustness Signal to noise ratio Transforms Digital audio players Detectors

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Trends in mobile Augmented Reality

Trends in mobile Augmented Reality

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IEEE Annual International Symposium Virtual Reality

作者： Dieter Schmalstieg Tobias Höllerer Institute for Computer Graphics and Vision Graz University of Technology Austria Department of Computer Science University of California Santa Barbara USA

This tutorial provides a detailed introduction to mobile Augmented Reality (AR). AR is a key user-interface technology for personalized, situated information delivery, navigation, on-demand instruction and games. The widespread availability and rapid evolution of smartphones enables software-only solutions for AR where it was previously necessary to assemble custom hardware solutions. However, ergonomic and technical limitations of smartphones as a platform make this a challenging endeavor. In particular, it is necessary to design novel efficient real-time computer vision and computer graphics algorithms, and create new lightweight forms of interaction with the environment through small form-factor devices. This tutorial will present selected technical achievements in this field and highlight some examples of successful application prototypes.

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CFD simulation of liquid-liquid extraction columns and visualization of eulerian datasets

CFD simulation of liquid-liquid extraction columns and visua...

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International Research and Training Group 1131 Workshop on Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Hlawitschka, Mark W. Chen, Fang Bart, Hans-Jörg Hamann, Bernd Department of Separation Science and Technology University of Kaiserslautern Germany Computer Graphics and HCI Group University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States 2 University of Kaiserslautern Germany

ISBN: (纸本)9783939897460

In this joint work, a complete framework for modeling, simulating and visualizing multiphase fluid flow within an extraction column is presented. We first present a volume-of-fluid simulation, which is able to predict the surface of the droplets during coalescence. However, a fast and efficient model is needed for the simulation of a liquid-liquid extraction column due to the high number of occurring droplets. To simulate the velocity and droplet size in a DN32 extraction column, a coupled computational fluid dynamic-population balance model solver is used. The simulation is analyzed using path-line based visualization techniques. A novel semi-automatic re-seeding technique for droplet path-line integration is proposed. With our technique, path-lines of fluid droplets can be re-initialized after contact with the stirring devices. The droplet breakage is captured, allowing the engineer to improve the design of liquid-liquid columns layout.

关键词： Computational fluid dynamics

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Anisotropic range image integration

Anisotropic range image integration

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Joint 34th Symposium of the German Association for Pattern Recognition, DAGM 2012 and 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012

作者： Schroers, Christopher Zimmer, Henning Valgaerts, Levi Bruhn, Andrés Demetz, Oliver Weickert, Joachim Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University Saarbrücken 66041 Germany Computer Graphics Laboratory Department of Computer Science ETH Zurich Zurich 8092 Switzerland Max-Planck-Institut für Informatik Campus E1.4 Saarbrücken 66123 Germany Institute for Visualization and Interactive Systems University of Stuttgart Universitätsstraße 38 70569 Stuttgart Germany

ISBN: (纸本)9783642327162

Obtaining high-quality 3D models of real world objects is an important task in computer vision. A very promising approach to achieve this is given by variational range image integration methods: They are able to deal with a substantial amount of noise and outliers, while regularising and thus creating smooth surfaces at the same time. Our paper extends the state-of-the-art approach of Zach et al.(2007) in several ways: (i) We replace the isotropic space-variant smoothing behaviour by an anisotropic (direction-dependent) one. Due to the directional adaptation, a better control of the smoothing with respect to the local structure of the signed distance field can be achieved. (ii) In order to keep data and smoothness term in balance, a normalisation factor is introduced. As a result, oversmoothing of locations that are seen seldom is prevented. This allows high quality reconstructions in uncontrolled capture setups, where the camera positions are unevenly distributed around an object. (iii) Finally, we use the more accurate closest signed distances instead of directional signed distances when converting range images into 3D signed distance fields. Experiments demonstrate that each of our three contributions leads to clearly visible improvements in the reconstruction quality. © 2012 Springer-Verlag.

关键词： computer vision

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Evaluating the influence of motivational and educational strategies in personalized medication management

Evaluating the influence of motivational and educational str...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Min-Hui Foo Jit Chee Chua Chen Koon Toh Jamie Ng Computer Graphics and Interface Department Institute for Infocomm Research Agency for Science Technology and Research Singapore

Medication non-adherence is a major problem to all stakeholders, posing escalating costs and risks to patients as well as substantial economic burden to the health care industry. Solutions that attempt to broaden the functions and capabilities of medication management have hitherto been employing a narrow-focused approach, often failing to address the multitude of factors that leads to the phenomena. In this paper, we present an experimental comparison of user attitude towards medication adherence using a single-focused versus a multifaceted personalized medication management system that has been implemented with elements of motivational and educational strategies. The findings from this research suggest evidence of the significance and usefulness of applying a multifaceted approach, in particular, the implementation of motivational and educational strategies in the design of a personalized medication management system in addressing medication non-adherence.

关键词： Drugs Portals Biomedical imaging Industries Complexity theory

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Classification of breast mammograms into benign and malignant

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2012年第2期7卷 359-363页

作者： Talha, Muhammad Sulong, Ghazali Bin Alarifi, Abdulrahman College of Science Research Centre King Saud University Riyadh Saudi Arabia Department of Computer Graphics and Multimedia Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia Computer Research Institute King Abdulaziz City for Science and Technology Riyadh Saudi Arabia

In this paper, we have proposed a method that consists of combination of different methods. First we have performed enhancement on breast mammogram to enhance the image quality. After that discrete cosine transform has been applied for features extraction. Bayesian Classifier has been used for classification into benign and malignant. It has been noted that results are very much satisfactory. We have used MIAS data set for experimentation purpose. Proposed method performs good when we have tested on different images.

关键词： Discrete cosine transforms

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