For types of datavisualization where the cost of producing images is high, and the relationship between the rendering parameters and the image produced is less than obvious, a visual representation of the exploration...
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ISBN:
(纸本)9780780358973
For types of datavisualization where the cost of producing images is high, and the relationship between the rendering parameters and the image produced is less than obvious, a visual representation of the exploration process can make the process more efficient and effective. Image graphs represent not only the results but also the process of datavisualization. Each node in an image graph consists of an image and the corresponding visualization parameters used to produce it. Each edge in a graph shows the change in rendering parameters between the two nodes it connects. Image graphs are not just static representations: users can interact with a graph to review a previous visualization session or to perform new rendering. Operations which cause changes in rendering parameters can propagate through the graph. The user can take advantage of the information in image graphs to understand how certain parameter changes affect visualization results. Users can also share image graphs to streamline the process of collaborative visualization. We have implemented a volume visualization system using the image graph interface, and our examples in the paper come from this application.
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between an action and its reaction by observi...
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The steady growth of the Internet has dramatically changed the way information is shared and modern users expect near real time delivery, high quality images together with in-depth navigation and exploration of 3D mod...
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The steady growth of the Internet has dramatically changed the way information is shared and modern users expect near real time delivery, high quality images together with in-depth navigation and exploration of 3D models. Multiresolution is a promising approach for fast distributed volume visualisation employing levels-of-detail. We review multiresolution algorithms and visualisation systems on the WWW. Our discussion is based on experience gained in the development of the IAEVA-ii project funded by the European Commission. A new method for rapid data classification/rendering of multiresolution volumes based on shear-warp factorisation, is described. We can change classification functions and data resolution during rendering without significant reduction in interactivity. A method for constructing multiresolution transfer functions for determining opacity is also investigated. Finally, future trends in developing WWW visualisation systems are discussed.
visualexploration of massive datasets arising from telecommunication networks and services is a challenge. This paper describes SWIFT-3D, an integrated datavisualization and exploration system created at AT&T La...
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visualexploration of massive datasets arising from telecommunication networks and services is a challenge. This paper describes SWIFT-3D, an integrated datavisualization and exploration system created at AT&T Labs for large scale network analysis. SWIFT-3D integrates a collection of interactive tools that includes pixel-oriented 2D maps, interactive 3D maps, statistical displays, network topology diagrams and an interactive drill-down query interface. Example applications are described, demonstrating a successful application to analyze unexpected network events (high volumes of unanswered calls), and comparison of usage of an Internet service with voice network traffic and local access coverage.
We present a new neural network structure dedicated to the temporal data series recognition, called T-CombNET (Temporal CombNET). The T-CombNET is a modified and improved version of the CombNET-ii structure, which was...
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We present a new neural network structure dedicated to the temporal data series recognition, called T-CombNET (Temporal CombNET). The T-CombNET is a modified and improved version of the CombNET-ii structure, which was designed to deal with very large vocabulary character recognition. We incorporated a time normalization stage and used recurrent neural networks to enable CombNET-ii to do the temporal analysis. Then we applied this new model T-CombNET to the hand gesture recognition task. The preliminary results show that the proposed structure is very efficient, obtaining a recognition rate of 99.41% in visual based kana hand alphabet recognition experiments.
This paper describes an Interactive Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment which may be used for analyzing, designing, visualizing and evaluating the performance of robust multivar...
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This paper describes an Interactive Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment which may be used for analyzing, designing, visualizing and evaluating the performance of robust multivariable submarine control systems. The described MoSART environment is based on Microsoft Windows NT/95/98, visual C++, Microsoft Direct-3D, and MATLAB/SIMULINK. The environment consists of several key modules: (i) a program user-interface (PUI) module, (ii) a real-time simulation (RTS) module, (iii) a graphical visualization and animation (GVA) module, and (iv) a help/instruct module. The environment also accommodates data exchange with MATLAB. This is useful for control system analysis and redesign. This makes the developed environment very extensible with respect to mathematical modeling and control. The developed Interactive MoSART Submarine Environment is shown to be a valuable tool for enhancing the analysis and design process. Examples are presented to illustrate its utility.
The human ear has a remarkable ability to detect temporal structures and patterns even in highly complex signals. Therefore, it is profitable to use the ear in dataanalysis especially in the cases where the amount of...
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ISBN:
(纸本)0819427381
The human ear has a remarkable ability to detect temporal structures and patterns even in highly complex signals. Therefore, it is profitable to use the ear in dataanalysis especially in the cases where the amount of data is vast for any practical visualization technique. The main principle in this paper is to incorporate psychoacoustic knowledge into the system. For example, auditory frequency resolution, i.e,, ERB-scale is used in mapping data values to control parameters of the system. A real time computer program with a graphical user interface where various parameters of the system can be controlled is developed. For example, the time scale is continuously adjustable and there are methods to focus on some aspects or fractions of the data. The results are promising and show that this approach has potential in sonification applications. The limitation of the modulation approach is the number of simultaneously detectable parameters.
Exploratory analysis of remotely-sensed data aims at acquiring insight as to the stability of possible classifications of these data and their information value for specific applications. For this purpose, knowledge o...
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Exploratory analysis of remotely-sensed data aims at acquiring insight as to the stability of possible classifications of these data and their information value for specific applications. For this purpose, knowledge of the uncertainties underlying these classifications is imperative. In this paper, we introduce various measures that summarise for a classification;in a single number per pixel, the distribution and extent of the uncertainties involved. Since exploratory analysis needs effective ways of conveying information to the user, we in addition address various ways of cartographic visualisation of uncertainty. (C) 1998 Elsevier Science Ltd. All rights reserved.
The Advanced Volume visualization Display (AVVD) research program is a joint research program between the Fraunhofer Center for Research in Computer Graphics, Inc. and Innovative Research and Development Corp. It is d...
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ISBN:
(纸本)0819427381
The Advanced Volume visualization Display (AVVD) research program is a joint research program between the Fraunhofer Center for Research in Computer Graphics, Inc. and Innovative Research and Development Corp. It is dedicated to the real-time visualization of high-resolution volumetric sensor data sets, maximizing the use of the human visual system to facilitate detection and classification in extremely hostile environments. The AVVD program has successfully demonstrated the application of high-speed volume visualization to a number of detection and classification problems. Recent emphasis has been on sonar for undersea imaging using data from the Naval Undersea Warfare Center - Division Newport's High Resolution Array (HRA), and rapid mine detection using data from the Coastal System Station's Toroidal Volume Search Sonar (TVSS). The AVVD system introduced a new capability: the intuitive composition of several "pings" into a synthetic volumetric set. This composite data is higher resolution, approaching optical quality, with soft shadows and broad specularities.
There are many visualization systems available to the scientific community. Unfortunately the use of such systems is not as wide spread as we would like. The visualization of a scientist's data involves expertise ...
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ISBN:
(纸本)0819427381
There are many visualization systems available to the scientific community. Unfortunately the use of such systems is not as wide spread as we would like. The visualization of a scientist's data involves expertise from the scientist and the visualizing expert. In this paper we document the interaction between a scientist and a team of graphics people. We discuss why standard visualization systems were not used and we present our prototype system for fly-wing asymmetry visualization In Biology organismal symmetry or lack thereof is being used as a measure of the quality of life forms. In this paper we present a system that was designed to facilitate the analysis of fly-wing data. The data used in this visualization was collected to test the hypothesis that old mothers produce lower quality offspring than young mothers. Thirteen landmarks at wing vein intersections were digitized three times on each wing and analyzed for asymmetry. The system that we present here complements the statistical analysis tools that are used for the formal analysis. In particular, our system has helped the scientist find outliers and gain an intuition for the data that has helped him decide which statistical analysis to perform.
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