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conference on Optomechatronic Computer-Vision Systems II

作者： Ohki, Hidehiro Inoue, Seiki Fujita, Yoneharu Sueda, Naomichi Oita Univ 700 Dannoharu Oita 8701192 Japan NHK Japan Broadcasting Corp Setagaya Ku 1-10-11 Kinuta Tokyo 1578510 Japan

ISBN: (纸本)9780819468666

We propose digital scorebook for football game which digitizes a football game video and presents it as an animation. The proposed system consists of player position estimation from the game video, event selection interface and player movement animation. Player position estimation allows for flexible movements and angles of the cameras including zoom in and out, pan, tilt and yaw. This reliable and robust estimation of the player movement is based on image analysis by synthesis and Generalized Hough Transform(GHT). The operator can annotate game scenes based on player movement data using event selection interface. The player movement is represented by the animation whose characters have number or letter figures to emphasize the data. We demonstrate the applicability of player position estimation and play annotation scheme via the character behaviors in animation.

关键词： sport movie analysis sport data visualization play event annotation

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From sensors to models to visualization - Handling the complex data flow

From sensors to models to visualization - Handling the compl...

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Society of Petroleum Engineers - Digital Energy conference and Exhibition 2007 - Bytes and Barrels: An Energy Renaissance

作者： Kolnes, . Kluge, R. Halsey, G.W. Bjørkevoll, K.S. Rommetveit, R. SINTEF Petroleum Research

ISBN: (纸本)9781604230086

The paper describes the underlying infrastructure of an advanced real time integrated drilling simulator that is under development. Focus will be on handling the complex data flow and meeting the requirements regarding simultaneity when designing such a compound system. A synthesis of multiple transient and steady state models for drilling sub-processes with links to 3D visualization software and measured data is being built on the technology described in this paper. Possible applications include: personnel training testing and comparing drilling plans real-time diagnosis: warnings, optimization and forward looking process control post analysis This paper describes several challenges when developing a compound system for data processing in networks. For example the system must: be designed to function with a degree of sensor failure make both measured and predicted values available make historical data available for the entire well make auxiliary data (rig, formation) available allow for synchronization of measurements and predictions in time manage task co-ordination between modules manage storage and retrieval of user communication The paper discusses different approaches to the challenges presented and recommends solution strategies. The underlying infrastructure is a crucial part of an integrated drilling simulator. It is the core of a technology that allows better utilization of drilling data through easier data access, visualization and advanced modeling. Such a system is an important element in integrating operations and enabling better communication between distributed experts. Copyright 2007, Society of Petroleum Engineers.

关键词： data flow analysis

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ExperiScope: An analysis Tool for Interaction data 07

ExperiScope: An Analysis Tool for Interaction Data

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conference on Human Factors in Computing Systems

作者： Guimbretiere, Francois Dixon, Morgan Hinckley, Ken Univ Maryland Human Comp Interact Lab Dept Comp Sci College Pk MD 20742 USA

ISBN: (纸本)9781595935939

We present ExperiScope, an analytical tool to help designers and experimenters explore the results of quantitative evaluations of interaction techniques. ExperiScope combines a new visualization incorporating aspects of the KLM and the three-state model with an interface helping users to rapidly cluster similar patterns of interactions. The tool makes it easy to identify and compare key patterns of use encountered during data collection. This promotes a deeper understanding of the results of a given evaluation. We illustrate the advantages of this tool by revisiting the data collected for an experiment conducted by Hinckley et al. [19] which compared different mode switching techniques. Our results show that our tool complements the previously reported results by offering insights about error behavior and the impact of mode switching on user performance. By providing a more fine-grained analysis of the data gathered during empirical evaluations, we hope that our tool will improve researchers' understanding of existing and newly developed interaction techniques.

关键词： ExperiScope data analysis tool Interaction design Empirical evaluation

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Medical Imaging 2007 conference

作者： Weldeselassie, Yonas T. Hamarneh, Ghassan Weiskopf, Daniel Simon Fraser Univ Med Image Anal Lab Sch Comp Sci Burnaby BC V5A 1S6 Canada Simon Fraser Univ Graph Usabil & Visualizat Lab Sch Comp Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)9780819466273

In this paper, we propose an adaptive seeding strategy for visualization of diffusion tensor magnetic resonance imaging (DT-MRI) data using strearntubes. DT-MRI is a medical imaging modality that captures unique water diffusion properties and fiber orientation information of the imaged tissues. Visualizing DT-MRI data using strearntubes has the advantage that not only the anisotropic nature of the diffusion is visualized but also the underlying anatomy of biological structures is revealed. This makes strearntubes significant for the analysis of fibrous tissues in medical images. In order to avoid rendering multiple similar streamtubes, an adaptive seeding strategy is employed which takes into account similarity of tensors in a given region. The goal is to automate the process of generating seed points such that regions with dissimilar tensors are assigned more seed points compared to regions with similar tensors. The algorithm is based on tensor dissimilarity metrics that take into account both diffusion magnitudes and directions to optimize the seeding positions and density of streamtubes in order to reduce the visual clutter. Two recent advances in tensor calculus and tensor dissimilarity metrics are utilized: the Log-Euclidean and the J-divergence. Results show that adaptive seeding not only helps to cull unnecessary strearntubes that would obscure visualization but also do so without having to compute the culled strearntubes, which makes the visualization process faster.

关键词： visualization diffusion tensor magnetic resonance imaging streamtubes seeding tensor distance Log-Euclidean J-divergence

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Proceedings - APGV 2007: Symposium on Applied Perception in Graphics and visualization

Proceedings - APGV 2007: Symposium on Applied Perception in ...

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APGV 2007: 4th Symposium on Applied Perception in Graphics and visualization

ISBN: (纸本)159593670X

The proceedings contain 25 papers. The topics discussed include: hybrid image-/model-based gaze-contingent rendering;psychophysics for perception of (In)determinate art;psychophysical investigation of facial expressions using computer animated faces;a statistical approach for image difficulty estimation in X-ray screening using image measurements;redesign of classic information visualization techniques in an artistic computing perspective;simulation and optimization of display visibility;cognitive evaluation of uncertainty visualization methods for decision making;incorporating visual attention into mesh simplification techniques;action-based slant perception in real and virtual environments;redundancy reduction in 3D facial motion capture data for animation;perceptual uniformity of contrast scaling in complex images;3D facial expression analysis and deformation;and spatial properties of light fields in natural scenes.

关键词： data visualization

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Gradient-based value mapping for pseudocolor images

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JOURNAL OF ELECTRONIC IMAGING 2007年第3期16卷

作者： Visvanathan, Arvind Reichenbach, Stephen E. Tho, Qingping Univ Nebraska Dept Comp Sci & Engn Lincoln NE 68588 USA GC Image LLC Lincoln NE 68505 USA

We develop a method for automatic colorization of images (or two-dimensional fields) in order to visualize pixel values and their local differences. In many applications, local differences in pixel values are as important as their values. For example, in topography, both elevation and slope often must be considered. Gradient-based value mapping (GBVM) is a technique for colorizing pixels based on value (e.g., intensity or elevation) and gradient (e.g., local differences or slope). The method maps pixel values to a color scale (either gray-scale or pseudocolor) in a manner that emphasizes gradients in the image while maintaining ordinal relationships of values. GBVM is especially useful for high-precision data, in which the number of possible values is large. Colorization with GBVM is demonstrated with data from comprehensive two-dimensional gas chromatography (GCxGC), using both gray-scale and pseudocolor to visualize both small and large peaks, and with data from the Global Land One-Kilometer Base Elevation (GLOBE) Project, using gray-scale to visualize features that are not visible in images produced with popular value-mapping algorithms. (c) 2007 SPIE and IS&T.

关键词： visualization Associative arrays Chemical analysis Chromatography RGB color model Modulation Sensors Computer engineering Computer science Visual information processing

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A multiple correspondence analysis to organize data cubes 7

A multiple correspondence analysis to organize data cubes

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7th International Baltic conference on databases and Information Systems, DB and IS 2006

作者： Ben Messaoud, Riadh Boussaid, Omar Loudcher Rabaséda, Sabine Laboratory ERIC University of Lyon 2 5 avenue Pierre Mendès-France Bron Cedex69676 France

ISBN: (纸本)9781586037154

On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in huge and sparse data, exploration becomes a tedious task and the simple user's intuition or experience does not lead to efficient results. In this paper, we propose to exploit the results of the Multiple Correspondence analysis (MCA) in order to enhance data cube representations and make them more suitable for visualization and thus, easier to analyze. Our approach addresses the issues of organizing data in an interesting way and detects relevant facts. Our purpose is to help the interpretation of multidimensional data by efficient and simple visual effects. To validate our approach, we compute its efficiency by measuring the quality of resulting multidimensional data representations. In order to do so, we propose an homogeneity criterion to measure the visual relevance of data representations. This criterion is based on the concept of geometric neighborhood and similarity between cells. Experimental results on real data have shown the interest of using our approach on sparse data cubes. © 2007 The authors and IOS Press. All rights reserved.

关键词： data visualization

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Optimized alignment and visualization of clustering results

Optimized alignment and visualization of clustering results

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30th Annual conference of the German-Classification-Society

作者： Hoffmann, Martin Radke, Dorte Mueller, Ulrich Hans Knoell Inst Leibnitz Inst Nat Prod Res & Infect Biol Junior Res Grp Bioinformat Beutenberg Str 11A D-07745 Jena Germany

ISBN: (纸本)9783540709800

The grouping of data by clustering generally depends on the clustering method used and its specific parameter settings. Therefore, the comparison of results obtained from different clusterings is generally recommended (ensemble clustering). The present study presents a simple and an optimized method for visualizing such results by drawing a two-dimensional color map that associates data with cluster memberships. The methodology is applicable to any unsupervised and supervised classification results.

关键词： Clustering algorithms

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Model-based data Engineering: Preparing a paradigm shift towards self-organizing information exchange

Model-based Data Engineering: Preparing a paradigm shift tow...

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Summer Computer Simulation conference 2007, SCSC 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007

作者： Tolk, Andreas Diallo, Saikou Y. Turnitsa, Charles D. Engineering Management and Systems Engineering Old Dominion University Simulation and Visualization Faculty Norfolk VA United States Virginia Modeling Analysis and Simulation Center Old Dominion University Suffolk VA United States United States

ISBN: (纸本)9781622763580

Current standards for interoperability and composability focus on mandating a common information exchange data model. The Levels of Conceptual Interoperability Model (LCIM) shows that this is not sufficient. A second challenge is that the mapping between system-internal representations to the information exchange data model is left to system developers leading to misinterpretations and ambiguous information exchange. Model-based data Engineering (MBDE) replaces this with an engineering process. Both ideas together motivate the hypothesis that selforganizing information exchange is possible if the system interfaces and behaviors are captured in machineunderstandable meta-information.

关键词： Interoperability

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Private data management in collaborative environments\

Private data management in collaborative environments\

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4th International conference on Cooperative Design, visualization, and Engineering

作者： Korba, Larry Song, Ronggong Yee, George Patrick, Andrew S. Buffett, Scott Wang, Yunli Geng, Liqiang Natl Res Council Canada Inst Informat Technol Bldg M-50Montreal Rd Ottawa ON K1A 0R6 Canada

ISBN: (纸本)9783540747796

Organizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of information and communication technologies, improved collaboration, and the pressures of marketing, it is very difficult to locate personal data is, let alone manage its use. In this paper, we outline the challenges of managing personally identifiable information in a collaborative environment, and describe a software prototype we call SNAP (Social Networking Applied to Privacy). SNAP uses automated workflow discovery and analysis, in combination with various text mining techniques, to support automated enterprise management of personally identifiable information.

关键词： privacy compliance workflow social network analysis

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