DevLan/vispubs huggingface dataset:
Turning the bucket of text into a pipe
Authors: Elizabeth G. Hetzler, Vernon L. Crow, Deborah A. Payne, Alan Turner
Published at InfoVis, 2005

Many visual analysis tools operate on a fixed set of data. However, professional information analysts follow issues over a period of time and need to be able to easily add new documents to an ongoing exploration. Some analysts handle documents in a moving window of time, with new documents constantly added and old ones aging out. This paper describes both the user interaction and the technical implementation approach for a visual analysis system designed to support constantly evolving text collections.
Two-tone pseudo coloring: compact visualization for one-dimensional data
Authors: Takafumi Saito, Hiroko Miyamura, Mitsuyoshi Yamamoto, Hiroki Saito, Yuka Hoshiya, Takumi Kaseda
Published at InfoVis, 2005

A new pseudo coloring technique for large scale one-dimensional datasets is proposed. For visualization of a large scale dataset, user interaction is indispensable for selecting focus areas in the dataset. However, excessive switching of the visualized image makes it difficult for the user to recognize overview/ detail and detail/ detail relationships. The goal of this research is to develop techniques for visualizing details as precisely as possible in overview display. In this paper, visualization of a one-dimensional but very large dataset is considered. The proposed method is based on pseudo coloring, however, each scalar value corresponds to two discrete colors. By painting with two colors at each value, users can read out the value precisely. This method has many advantages: it requires little image space for visualization; both the overview and details of the dataset are visible in one image without distortion; and implementation is very simple. Several application examples, such as meteorological observation data and train convenience evaluation data, show the effectiveness of the method.
Visual correlation for situational awareness
Authors: Yarden Livnat, James Agutter, Shaun Moon, Stefano Foresti
Published at InfoVis, 2005

We present a novel visual correlation paradigm for situational awareness (SA) and suggest its usage in a diverse set of applications that require a high level of SA. Our approach is based on a concise and scalable representation, which leads to a flexible visualization tool that is both clear and intuitive to use. Situational awareness is the continuous extraction of environmental information, its integration with previous knowledge to form a coherent mental picture, and the use of that picture in anticipating future events. In this paper we build on our previous work on visualization for network intrusion detection and show how that approach can be generalized to encompass a much broader class of SA systems. We first propose a generalization that is based on what we term, the w/sup 3/ premise, namely that each event must have at least the what, when and where attributes. We also present a second generalization, which increases flexibility and facilitates complex visual correlations. Finally, we demonstrate the generality of our approaches by applying our visualization paradigm in a collection of diverse SA areas.
Visualization of graphs with associated timeseries data
Authors: Purvi Saraiya, Peter Lee 0005, Chris North 0001
Published at InfoVis, 2005

The most common approach to support analysis of graphs with associated time series data include: overlay of data on graph vertices for one timepoint at a time by manipulating a visual property (e.g. color) of the vertex, along with sliders or some such mechanism to animate the graph for other timepoints. Alternatively, data from all the timepoints can be overlaid simultaneously by embedding small charts into graph vertices. These graph visualizations may also be linked to other visualizations (e.g., parallel co-ordinates) using brushing and linking. This paper describes a study performed to evaluate and rank graph+timeseries visualization options based on users' performance time and accuracy of responses on predefined tasks. The results suggest that overlaying data on graph vertices one timepoint at a time may lead to more accurate performance for tasks involving analysis of a graph at a single timepoint, and comparisons between graph vertices for two distinct timepoints. Overlaying data simultaneously for all the timepoints on graph vertices may lead to more accurate and faster performance for tasks involving searching for outlier vertices displaying different behavior than the rest of the graph vertices for all timepoints. Single views have advantage over multiple views on tasks that require topological information. Also, the number of attributes displayed on nodes has a non trivial influence on accuracy of responses, whereas the number of visualizations affect the performance time.
Visualizing coordination in situ
Authors: Chris E. Weaver
Published at InfoVis, 2005

Exploratory visualization environments allow users to build and browse coordinated multiview visualizations interactively. As the number of views and amount of coordination increases, conceptualizing coordination structure becomes more and more important for successful data exploration. Integrated metavisualization is exploratory visualization of coordination and other interactive structure directly inside a visualization's own user interface. This paper presents a model of integrated metavisualization, describes the problem of capturing dynamic interface structure as visualizable data, and outlines three general approaches to integration. Metavisualization has been implemented in improvise, using views, lenses, and embedding to reveal the dynamic structure of its own highly coordinated visualizations.
Vizster: visualizing online social networks
Authors: Jeffrey Heer, danah boyd
Published at InfoVis, 2005

Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual "friendship" relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large scale online social networks. Our design builds upon familiar node link network layouts to contribute customized techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the system's usability, capacity for facilitating discovery, and potential for fun and engaged social activity
Voronoi treemaps
Authors: Michael Balzer, Oliver Deussen
Published at InfoVis, 2005

Treemaps are a well known method for the visualization of attributed hierarchical data. Previously proposed treemap layout algorithms are limited to rectangular shapes, which cause problems with the aspect ratio of the rectangles as well as with identifying the visualized hierarchical structure. The approach of Voronoi treemaps presented in this paper eliminates these problems through enabling subdivisions of and in polygons. Additionally, this allows for creating treemap visualizations within areas of arbitrary shape, such as triangles and circles, thereby enabling a more flexible adaptation of treemaps for a wider range of applications.
A Simple and Novel Seed-Set Finding Approach for Iso-Surface Extraction
Authors: Chiang-Han Hung, Chuan-Kai Yang
Published at EuroVis, 2005

Iso-surface extraction is one of the most important approaches for volume rendering, and iso-contouring is one of the most effective methods for iso-surface extraction. Unlike most other methods having their search domain to be the whole dataset, iso-contouring does its search only on a relatively small subset of the original data-set. This subset, called a seed-set, has the property that every iso-surface must intersect with it, and it could be built at the preprocessing time. When an iso-value is given at the run time, iso-contouring algorithm starts from the intersected cells in the seed-set, and gradually propagates to form the whole iso-surface. As smaller seed-sets offer less cell searching time, most existing iso-contouring algorithms concentrates on how to identify an optimal seed-set. In this paper, we propose a new and linear-time approach for seed-set construction. This presented algorithm could reduce the size of the generated seed-sets by up to one or two orders of magnitude, compared with other previously proposed fast (linear time) algorithms.
Analysis and Visualization of 3-C PIV Images from HART II using Image Processing Methods
Authors: Julia Ebling, Gerik Scheuermann, Berend G. van der Wall
Published at EuroVis, 2005

In this paper, three-component particle image velocimetry (3-C PIV) measurements within the wake of a helicopter rotor from the HART II test are analyzed. These PIV-images are quite a challenge as the noise due to the measurement method and the inherent turbulence of the flow can not be distinguished. Furthermore, features are often hidden by a mean flow, which is influenced by vortices and therefore not easy to determine. The authors present some image processing methods adapted to these vector fields for the computation of position, size, and direction of the vortices in this data. These methods are quite robust in terms of noise and independent of any mean flow and therefore appropriate for this analysis. The results of the analysis allow a more descriptive and intuitive visualization of the vortices.
ArcTrees: Visualizing Relations in Hierarchical Data
Authors: Petra Neumann 0001, Stefan Schlechtweg, Sheelagh Carpendale
Published at EuroVis, 2005

In this paper we present, ARCTREES, a novel way of visualizing hierarchical and non-hierarchical relations within one interactive visualization. Such a visualization is challenging because it must display hierarchical information in a way that the user can keep his or her mental map of the data set and include relational information without causing misinterpretation. We propose a hierarchical view derived from traditional Treemaps and augment this view with an arc diagram to depict relations. In addition, we present interaction methods that allow the exploration of the data set using Focus+Context techniques for navigation. The development was motivated by a need for understanding relations in structured documents but it is also useful in many other application domains such as project management and calendars.
BioBrowser: A Framework for Fast Protein Visualization
Authors: Andreas Halm, Lars Offen, Dieter W. Fellner
Published at EuroVis, 2005

This paper presents a protein visualization system called BioBrowser, which provides high quality images at interactive frame rates for molecules of extreme size and complexity. This is achieved by a shift in the tessellation approach: triangle meshes are not produced a priori on a 'just-in-case' basis. Instead, tessellation happens 'justin- time' given a certain camera position, image size and interaction demand. Thus, our approach is based on multiresolution meshes and on new extensions of graphics hardware. The paper shows how to reduce geometric data by using subdivision surfaces for ribbon structures and molecular surfaces and by using billboards instead of spheres consisting of triangles. It also shows how to use fragment shaders to create a three dimensional appearance and realistic sphere intersections. The combination of these approaches leads to an image quality not yet seen in interactive visualization environments for molecules of that size/complexity. All the above methods are combined to gain a high performance configurable visualization system on standard hardware.
Combining Silhouettes, Surface, and Volume Rendering for Surgery Education and Planning
Authors: Christian Tietjen, Tobias Isenberg 0001, Bernhard Preim
Published at EuroVis, 2005

We introduce a flexible combination of volume, surface, and line rendering. We employ object-based edge detection because this allows a flexible parametrization of the generated lines. Our techniques were developed mainly for medical applications using segmented patient-individual volume datasets. In addition, we present an evaluation of the generated visualizations with 8 medical professionals and 25 laypersons. Integration of lines in conventional rendering turned out to be appropriate.
Dense Geometric Flow Visualization
Authors: Sung W. Park, Brian Budge, Lars Linsen, Bernd Hamann, Kenneth I. Joy
Published at EuroVis, 2005

We present a flow visualization technique based on rendering geometry in a dense, uniform distribution. Flow is integrated using particle advection. By adopting ideas from texture-based techniques and taking advantage of parallelism and programmability of contemporary graphics hardware, we generate streamlines and pathlines addressing both steady and unsteady flow. Pipelining is used to manage seeding, advection, and expiration of streamlines/ pathlines with constant lifetime. We achieve high numerical accuracy by enforcing short particle lifetimes and employing a fourth-order integration method. The occlusion problem inherent to dense volumetric representations is addressed by applying multi-dimensional transfer functions (MDTFs), restricting particle attenuation to regions of certain physical behavior, or features. Geometry is rendered in graphics hardware using techniques such as depth sorting, illumination, haloing, flow orientation, and depth-based color attenuation to enhance visual perception. We achieve dense geometric three-dimensional flow visualization with interactive frame rates.
Discovering High-level Parameters for Visualization Design
Authors: Srinivas Bhagavatula, Penny Rheingans, Marie desJardins
Published at EuroVis, 2005

In most graphics and visualization applications, the effects of the mapping parameters on the output domain are multidimensional, non-linear and discontinuous. The complexity of such mapping often makes it difficult for a user to manually explore and manipulate the design parameter space to produce the desired output. Computer assistance is therefore useful in setting the mapping parameter values to generate desired outputs. Existing systems rely on exploring the entire input parameter space, which can be time and resource-intensive, particularly if the number of input parameters is large. We introduce a new approach to handling a large number of mapping parameters more efficiently. The basis for our approach is the identification of a small and effective set of highlevel parameters that can be associated directly with the characteristics of the outputs. Users will have a better understanding of this small set of high-level parameters and can easily modify their values interactively to produce the desired outputs. We demonstrate this technique in manipulating mapping parameters for a non-photorealistic volume rendering application.
Dynamically Modelling Interaction
Authors: Jon May
Published at EuroVis, 2005

Technological advances are increasing the use of dynamic or changing displays, in many forms of interface. The increasing amount of information held on the Internet and in private government and commercial databases also requires more innovative approaches to retrieval and browsing than existing text-based search engines can provide.
Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms
Authors: Claes Lundström, Patric Ljung, Anders Ynnerman
Published at EuroVis, 2005

Direct Volume Rendering (DVR) is known to be of diagnostic value in the analysis of medical data sets. However, its deployment in everyday clinical use has so far been limited. Two major challenges are that the current methods for Transfer Function (TF) construction are too complex and that the tissue separation abilities of the TF need to be extended. In this paper we propose the use of histogram analysis in local neighborhoods to address both these conflicting problems. To reduce TF construction difficulty, we introduce Partial Range Histograms in an automatic tissue detection scheme, which in connection with Adaptive Trapezoids enable efficient TF design. To separate tissues with overlapping intensity ranges, we propose a fuzzy classification based on local histograms as a second TF dimension. This increases the power of the TF, while retaining intuitive presentation and interaction.
Galilean Invariant Extraction and Iconic Representation of Vortex Core Lines
Authors: Jan Sahner, Tino Weinkauf, Hans-Christian Hege
Published at EuroVis, 2005

While vortex region quantities are Galilean invariant, most methods for extracting vortex cores depend on the frame of reference. We present an approach to extracting vortex core lines independently of the frame of reference by extracting ridge and valley lines of Galilean invariant vortex region quantities. We discuss a generalization of this concept leading to higher dimensional features. For the visualization of extracted line features we use an iconic representation indicating their scale and extent. We apply our approach to datasets from numerical simulations and experimental measurements.
GVis: A Scalable Visualization Framework for Genomic Data
Authors: Jin Hong 0003, Dong Hyun Jeong, Christopher D. Shaw, William Ribarsky, Mark Borodovsky, Chang Geun Song
Published at EuroVis, 2005

This paper describes a framework we have developed for the visual analysis of large-scale phylogeny hierarchies populated with the genomic data of various organisms. This framework allows the user to quickly browse the phylogeny hierarchy of organisms from the highest level down to the level of an individual genome for the desired organism of interest. Based on this framework, the user can initiate gene-finding and gene-matching analyses and view the resulting annotated coding potential graphs in the same multi-scale visualization framework, permitting correlative analysis and further investigation. This paper introduces our framework and describes the data structures and algorithms that support it.
Hardware-Accelerated Glyphs for Mono- and Dipoles in Molecular Dynamics Visualization
Authors: Guido Reina, Thomas Ertl
Published at EuroVis, 2005

We present a novel visualization method for mono- and dipolar molecular simulations from thermodynamics that takes advantage of modern graphics hardware to interactively render specifically tailored glyphs. Our approach allows domain experts to visualize the results of molecular dynamics simulations with a higher number of particles than before and furthermore offers much better visual quality. We achieve this by transferring only visualization parameters to the GPU and by generating implicit surfaces directly in the fragment program. As a result, we can render up to 500.000 glyphs with about 10 fps displaying all the simulation results as geometrical properties that resemble the classical abstract representation used in this research area. Thus we enable researchers to visually assess the results of simulations of greater scale than before. We believe that the proposed method can be generalized to create other kinds of parametrized surfaces directly on graphics hardware to overcome the bandwidth bottleneck that exists between CPU and GPU.
High-Quality Rendering of Compressed Volume Data Formats
Authors: Nathaniel Fout, Hiroshi Akiba, Kwan-Liu Ma, Aaron E. Lefohn, Joe Kniss
Published at EuroVis, 2005

Rendering directly from packed or compressed volume data formats using graphics hardware has advantages in terms of memory consumption and bandwidth, but results in lower-quality images due to the prohibitive cost of performing interpolation and gradient-based shading on the reconstructed data. The problem with the existing method lies in its close coupling of decompression and interpolation. We demonstrate that deferred filtering overcomes this problem by using a two-pass decompression and rendering strategy. With this method interpolation and gradient calculations are very efficient, allowing high quality rendering directly from packed or compressed volume data. We evaluate the cost of creating interpolated, gradient-shaded renderings using traditional on-the-fly decompression and deferred filtering, and show that deferred filtering can provide up to twenty times speed-up for high quality rendering.
High-Quality Volume Rendering with Resampling in the Frequency Domain
Authors: Martin Artner, Torsten Möller, Ivan Viola, M. Eduard Gröller
Published at EuroVis, 2005

This work introduces a volume rendering technique that is conceptually based on the shear-warp factorization. We propose to perform the shear transformation in the frequency domain. Unlike the standard shear-warp algorithm, we allow for arbitrary sampling distances along the viewing rays, independent from the view direction. The accurate scaling of the volume slices is achieved by using the zero padding interpolation property. Finally, a high quality gradient estimation scheme is presented which uses the derivative theorem of the Fourier transform. Experimental results show that the presented method outperforms established algorithms in the quality of the produced images. If the data is sampled above the Nyquist rate the presented method is capable of a perfect reconstruction of the original function.
Illustrative Context-Preserving Volume Rendering
Authors: Stefan Bruckner, Sören Grimm, Armin Kanitsar, M. Eduard Gröller
Published at EuroVis, 2005

In volume rendering it is very difficult to simultaneously visualize interior and exterior structures while preserving clear shape cues. Very transparent transfer functions produce cluttered images with many overlapping structures, while clipping techniques completely remove possibly important context information. In this paper we present a new model for volume rendering, inspired by techniques from illustration that provides a means of interactively inspecting the interior of a volumetric data set in a feature-driven way which retains context information. The context-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to the eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It is controlled by two user-specified parameters. This new method represents an alternative to conventional clipping techniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context information.
Interactive Methods for Exploring Particle Simulation Data
Authors: Christopher S. Co, Alex Friedman, David P. Grote, Jean-Luc Vay, E. Wes Bethel, Kenneth I. Joy
Published at EuroVis, 2005

In this work, we visualize high-dimensional particle simulation data using a suite of scatter plot-based visualizations coupled with interactive selection tools. We use traditional 2D and 3D projection scatter plots as well as a novel oriented disk rendering style to convey various information about the data. Interactive selection tools allow physicists to manually classify ''interesting'' sets of particles that are highlighted across multiple, linked views of the data. The power of our application is the ability to correspond new visual representations of the simulation data with traditional, well understood visualizations. This approach supports the interactive exploration of the high-dimensional space while promoting discovery of new particle behavior.