Publications
AniViz: A Template-based Animation Tool for Volume Visualization
Hiroshi Akiba, Chaoli Wang, and Kwan-Liu MaIEEE Computer Graphics and Applications
(accepted for publication)
2009In the communication of scientific studies and findings, animations are often more effective than still images for showing and explaining complex, dynamic processes, relationships, and structures hidden in the data. This paper introduces AniViz - a tool for making visualization animations. The design of AniViz is mainly based on two principles. First, it is desirable to directly turn the results of data exploration and visualization into the content of an animation that displays the most relevant aspects of the data. ...
Visibility Driven Transfer Functions
Carlos Correa and Kwan-Liu MaIn Proceedings of IEEE Pacific Visualization 2009 Symposium
April, 2009Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of attenuation and occlusion. The lack of a feedback mechanism to quantify the loss of information in the rendering process makes the design of good transfer functions a difficult and time consuming task ...
Correlation Study of Time-Varying Multivariate Climate Data Sets
Jeffrey Sukharev, Chaoli Wang, and Kwan-Liu MaIn Proceedings of IEEE Pacific Visualization 2009 Symposium
April, 2009We present a correlation study of time-varying multivariate volumetric data sets. In most scientific disciplines, to test hypotheses and discover insights, scientists are interested in looking for connections among different variables, or among different spatial locations within a data field. In response, we propose a suite of techniques to analyze the correlations in time-varying multivariate data. Various temporal curves are utilized to organize the data and capture the temporal behaviors ...
A Hybrid Space-Filling and Force-Directed Layout Method for Visualizing Multiple-Category Graphs
Takayuki Itoh, Chris Muelder, Kwan-Liu Ma, and Jun SeseIn Proceedings of IEEE Pacific Visualization 2009 Symposium
April, 2009Many graphs used in real-world applications consist of nodes belonging to more than one category. We call such graph ”multiplecategory graphs”. Social networks are typical examples of multiplecategory graphs: nodes are persons, links are friendships, and categories are communities that the persons belong to. It is often helpful
to visualize both connectivity and categories of the graphs simultaneously. In this paper, we present a new visualization technique for multiple-category graphs ...
Interactive Feature Extraction and Tracking by Utilizing Region Coherency
Chris Muelder and Kwan-Liu MaIn Proceedings of IEEE Pacific Visualization 2009 Symposium
April, 2009In this paper, we present a prediction-correction method that uses a prediction step to make the best guess of the feature region in the subsequent time step, followed by growing and shrinking the border of the predicted region to coherently extract the actual feature of interest. This method makes use of the temporal-space coherency of the data to accelerate the extraction process while implicitly solving the tedious correspondence problem that previous methods focus on ...
Next-Generation Visualization Technologies: Enabling Discoveries at Extreme Scale
Kwan-Liu Ma, Chaoli Wang, Hongfeng Yu, Kenneth Moreland, Jian Huan, and Rob RossSciDAC Review
Number 12, February, 2009, pp. 12-21The SciDAC Institute for Ultra-Scale Visualization aims to enable extreme-scale knowledge discovery by advancing the state of visualization technologies, fostering awareness of and communication about new visualization technologies, and placing these technologies into the hands of application scientists. ...
Terascale Direct Numerical Simulations of Turbulent Combustion using S3D
J H Chen, A Choudhary, B de Supinski, M DeVries, E R Hawkes, S Klasky, W K Liao, K-L Ma, J Mellor-Crummey, N Podhorszki, R Sankaran, S Shende, and C S YooComputational Science & Discovery
Volume 2, January-March, 2009Terascale DNS are computationally intensive, require massive amounts of computing power and generate tens of terabytes of data. Recent results from terascale DNS of turbulent flames are presented here, illustrating its role in elucidating flame stabilization mechanisms in a lifted turbulent hydrogen/air jet flame in a hot air coflow, and the flame structure of a fuel-lean turbulent premixed jet flame. Computing at this scale requires close collaborations between computer and combustion scientists to provide optimized scaleable algorithms and software for terascale simulations, efficient collective parallel I/O, tools for volume visualization of multiscale, multivariate data and automating the combustion workflow. ...