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 int...
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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.
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 regardin...
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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.
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 ...
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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.
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...
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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.
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 expressio...
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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.
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 impor...
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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.
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 tediou...
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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...
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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.
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 ...
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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.
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, imp...
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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.
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