EuroVisShort

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CrystalExplorer: An Interactive Knowledge-Assisted System for Visual Design of Solar Cell Crystal Structures
(The Eurographics Association, 2012) Aboulhassan, Amal; Li, Ruipeng; Knox, Christopher; Amassian, Aram; Hadwiger, Markus; Miriah Meyer and Tino Weinkaufs
Crystallography is a key research tool in materials science. The chemical properties of materials are often controlled by the geometric properties of crystals. Accordingly, visualizing the 3D structure of crystals is an important task in materials exploration. The current crystallography visualization systems are limited by focusing on the visualization of pre-defined crystal structures, and a lack of capabilities for editing and exploring different variations and levels of abstraction. To remove this limitation, we propose a new paradigm for knowledge-assisted visual exploration of crystals where the user can use semantic rules to define clusters of atoms with certain geometric properties. To test the usefulness of this system, we have applied it for the design of materials for solar cells. Using our proposed system, materials scientists can interactively create and visualize structures of interest inside the crystals in a relatively short time. This could not be achieved using their previous visualization workflow.
arcs.fm - A Backdrop Visualization for Music Talk
(The Eurographics Association, 2012) Baur, Dominikus; Butz, Andreas; Carpendale, Sheelagh; Miriah Meyer and Tino Weinkaufs
Visualizations usually completely capture our attention or disappear into the ambient background. In this paper we explore a middle ground, with visualizations that are not constantly in the center of attention and support a main conversational task without distracting from it. Such backdrop visualizations work for look-up and analytical tasks without getting in the way of the conversation, but can also be used actively. To illustrate this concept we describe arcs.fm, a case study for music talk, as an exemplary backdrop visualization. Music fulfills an important function for identity construction: we define ourselves by what music we listen to and we like to compare our musical taste with friends and family. The shift towards digital music allows us to meticulously keep track of all songs we have listened to and to have access to this data to augment our memories. Here we explore integrating visualizations of automatically collected listening histories with the explanations and discussion that develop in personal music talk. arcs.fm is a visualization system that supports this music talk by comparing two listening histories visually. arcs.fm stays in the background while enabling look-up and enriching peoples' conversation when needed.
Pattern Visualization of Human Connectome Data
(The Eurographics Association, 2012) Guo, Yishi; Wang, Yang; Fang, Shiaofen; Chao, Hongyang; Saykin, Andrew; Shen, Li; Miriah Meyer and Tino Weinkaufs
The human brain is a complex network with countless connected neurons, and can be described as a "connectome". Existing studies on analyzing human connectome data are primarily focused on characterizing the brain networks with a small number of easily computable measures that may be inadequate for revealing complex relationship between brain function and its structural substrate. To facilitate large-scale connectomic analysis, in this paper, we propose a powerful and flexible volume rendering scheme to effectively visualize and interactively explore thousands of network measures in the context of brain anatomy, and to aid pattern discovery.We demonstrate the effectiveness of the proposed scheme by applying it to a real connectome data set.
Force Brushes: Progressive Data-Driven Haptic Selection and Filtering for Multi-Variate Flow Visualizations
(The Eurographics Association, 2012) Jackson, Bret; Coffey, Dane; Keefe, Daniel F.; Miriah Meyer and Tino Weinkaufs
We present Force Brushes, a haptic-based interaction technique for controlled selection in multi-variate flow visualizations. Force Brushes addresses the difficult task of volumetric selection and filtering by rendering haptic constraints that allow scientists to snap directly to proxy geometry, such as streamlines, to select regions of interest and then progressively filter the selection using a data-driven approach. Using progressive brushing actions with multiple variables, a user has the potential to explore volumetric data in a more immediate, fluid, and controllable way guided by the underlying data.
The Effects of Visualization Feedback on Promoting Health Goal Progress in Older Adults
(The Eurographics Association, 2012) Pham, Tuan; Mejía, Shannon; Metoyer, Ronald; Hooker, Karen; Miriah Meyer and Tino Weinkaufs
Working towards and maintaining goals is closely tied to healthy aging, but aging researchers know little about how older adults work towards their meaningful goals on a daily basis. We conducted an internet-based microlongitudinal study (100 days, n
Sankey Arcs - Visualizing edge weights in path graphs
(The Eurographics Association, 2012) Nagel, Till; Duval, Erik; Moere, Andrew Vande; Kloeckl, Kristian; Ratti, Carlo; Miriah Meyer and Tino Weinkaufs
Arc diagrams allow exploring relations and their strength between sequential nodes. Previous solutions suffer from displaying all arcs at the center of a node, which can lead to visual obstruction. We present a new technique, which extends the arc diagram technique by laying out the weighted edges of a node adjacent to each other. The aim of our Sankey Arc technique is to improve clarity, to enable users perceiving and comparing weighted edges in path graphs. The technique is illustrated using a dataset on travel paths in a public transit network.
Visualization of Geospatial Time Series from Environmental Modeling Output
(The Eurographics Association, 2012) Köthur, Patrick; Sips, Mike; Kuhlmann, Julian; Dransch, Doris; Miriah Meyer and Tino Weinkaufs
Environmental models produce geospatial time series containing many spatio-temporal patterns. Scientists need to understand these patterns to analyze the behavior of the simulated environmental systems. We combine clustering and visualization to generate an intuitive visual summary of geospatial time series that captures the data’s prominent spatio-temporal information. As a first step, we evaluated our approach with well-understood observational data. Our visualization depicted all prominent features of these data suggesting that our method is readily applicable to environmental model output.
Calibration of the Marschner-Lobb Signal on CC, BCC, and FCC Lattices
(The Eurographics Association, 2012) Vad, Viktor; Csébfalvi, Balázs; Gabbouj, Moncef; Miriah Meyer and Tino Weinkaufs
The well-known Marschner-Lobb (ML) signal has been originally proposed for visually comparing 3D resampling filters applied on the traditional Cartesian Cubic (CC) lattice. Recently, this popular benchmark is also used for evaluating reconstruction schemes designed for the optimal Body-Centered Cubic (BCC) lattice and the suboptimal Face-Centered Cubic (FCC) lattice. Nevertheless, to the best of our knowledge, it has not been thoroughly studied whether the ML signal meets the assumptions that the theory of optimal regular volume sampling is based on. In this paper, we try to find equivalent CC, BCC, and FCC representations for unbiased comparisons. For the continuous reconstruction, we use comparable approximations of the ideal low-pass filter, and increase the sampling frequency until the aliasing effects completely vanish. Based on these experiments, we show that the ML signal is appropriate for comparing the CC and BCC lattices, but it is inappropriate for fairly comparing the FCC lattice to the CC and BCC lattices regarding the visual quality of the corresponding reconstructions. In fact, the ML signal very strongly prefers the FCC sampling due to the special shape of its spectrum. However, this property can hardly be expected from a practical signal.
MCS Filters to Express Partial Satisfaction of Criteria
(The Eurographics Association, 2012) Otjacques, Benoit; Cornil, Maël; Stefas, Mickaël; Feltz, Fernand; Miriah Meyer and Tino Weinkaufs
This paper describes a new graphical component called Multidimensional Concentric Sliders (MCS) to visually build Boolean conjunctive queries for numerical attributes. The main originality consists in allowing the user to impose a strict observance for some criteria as well as to offer options to be more tolerant for others. The component uses color coding to visualize groups of elements that approximately satisfy the query criteria to a similar degree (e.g. full satisfaction of all criteria, near-misses, not acceptable at all). The paper discusses both the concepts and a prototypal implementation.
Particle-Based Transparent Rendering of Implicit Surfaces and its Application to Fused Visualization
(The Eurographics Association, 2012) Tanaka, Satoshi; Hasegawa, Kyoto; Shimokubo, Yoshiyuki; Kaneko, Tomonori; Kawamura, Takuma; Nakata, Susumu; Ojima, Saori; Sakamoto, Naohisa; Tanaka, Hiromi; Koyamada, Koji; Miriah Meyer and Tino Weinkaufs
We present particle-based surface rendering (PBSR) that realizes precise rendering of transparent implicit surfaces and flexible fused visualization. The PBSR uses small opaque particles as rendering primitives and creates transparent images with the correct depth feel without the necessity of particle sorting. The nonnecessity of sorting enables that the rendering stage of the PBSR can be executed with interactive frame rates. The formula derived based on binomial probability works well to control the surface opacity. The PBSR realizes precise and quick transparent rendering of highly nonlinear implicit surfaces, such as those constructed by interpolating 3D scattered points. The PBSR also realizes various types of fused visualization such as surface-surface fusion, surface-volume fusion, and fusion of a slice plane with a volume and a polygon mesh.
Vortex Merge Graphs in Two-dimensional Unsteady Flow Fields
(The Eurographics Association, 2012) Kasten, Jens; Hotz, Ingrid; Noack, Bernd; Hege, Hans-Christian; Miriah Meyer and Tino Weinkaufs
Among the various existing vortex definitions, there is one class that relies on extremal structures of derived scalar fields. These are, e.g., vorticity,λ<sub>2</sub>, or the acceleration magnitude. This paper proposes a method to identify and track extremal-based vortex structures in 2D time-dependent flows. It is based on combinatorial scalar field topology. In contrast to previous methods, merge events are explicitly handled and represented in the resulting graph. An abstract representation of this vortex merge graph serves as basis for the comparison of the different scalar identifiers. The method is applied to numerically simulated flows of a mixing layer and a planar jet.
Continuous Navigation of Nested Abstraction Levels
(The Eurographics Association, 2012) Zwan, Matthew van der; Telea, Alex; Isenberg, Tobias; Miriah Meyer and Tino Weinkaufs
We investigate the dedicated control of multiple levels of semantic and sampling-based abstraction in 3D datasets, i. e., different types of data abstractions as opposed to sampling-based abstraction which shows more or less data. This dedicated navigation in the abstraction space facilitates the mental integration of different existing visualization techniques in many application areas including our example domain of fluid simulation. We realize the continuous abstraction control by interpolating between the levels while being able to simultaneously show multiple abstractions. We employ a halo-like shading technique based on distance fields to blend between several levels while continuously navigating between focus and context abstractions.We further add a semantic lens to find focus abstractions close to a user-defined context abstraction. Our entire implementation uses 2D image-based techniques to enable real-time performance, which seamlessly integrates within a 3D visualization tool.
DiffMatrix: Matrix-based Interactive Visualization for Comparing Temporal Trends
(The Eurographics Association, 2012) Song, Hyunjoo; Lee, Bongshin; Kim, Bohyoung; Seo, Jinwook; Miriah Meyer and Tino Weinkaufs
Line graphs have been commonly used for visualizing temporal trends in time series data. Since comparing trends is one of the main tasks for analyzing multiple temporal trends, many efforts have been made to enhance visual representations of line graphs to help people efficiently compare multiple temporal trends. However, as the number of line graphs increases, the overlap makes it difficult to perform comparison and other analyses. In this paper, we introduce DiffMatrix, a matrix-based interactive visualization designed to support effective analyses of a large number of time series data. It employs four visual representations for each cell in the matrix to show the difference between two time series-dual lines, diff line, diff area, diff heatmap-and a detail view to support more indepth analyses on individual line graphs. DiffMatrix allows users to seamlessly switch between these representations that best support their tasks. We also report possible future work we identified through case studies with three real-world time series datasets with a large number of series.
The Parallel Coordinates Matrix
(The Eurographics Association, 2012) Heinrich, Julian; Stasko, John; Weiskopf, Daniel; Miriah Meyer and Tino Weinkaufs
We introduce the parallel coordinates matrix (PCM) as the counterpart to the scatterplot matrix (SPLOM). Using a graph-theoretic approach, we determine a list of axis orderings such that all pairwise relations can be displayed without redundancy while each parallel-coordinates plot can be used independently to visualize all variables of the dataset. Therefore, existing axis-ordering algorithms, rendering techniques, and interaction methods can easily be applied to the individual parallel-coordinates plots. We demonstrate the value of the PCM in two case studies and show how it can serve as an overview visualization for parallel coordinates. Finally, we apply existing focus-and-context techniques in an interactive setup to support a detailed analysis of multivariate data.
ClockMap: Enhancing Circular Treemaps with Temporal Glyphs for Time-Series Data
(The Eurographics Association, 2012) Fischer, Fabian; Fuchs, Johannes; Mansmann, Florian; Miriah Meyer and Tino Weinkaufs
Treemaps are a powerful method to visualize especially time-invariant hierarchical data. Most attention is drawn to rectangular treemaps, because their space-filling layouts provide good scalability with respect to the amount of data that can be displayed. Since circular treemaps sacrifice the space-filling property and since higher level circles only approximately match the aggregated size of their descendants, they are rarely used in practice. However, for drawing circular glyphs their shape preserving property can outweigh these disadvantages and facilitate comparative tasks within and across hierarchy levels. The interactive ClockMap visualization effectively supports the user in exploring and finding patterns in hierarchical time-series data through drill-down, semantic zoom and details-on-demand. In this study, the technique's applicability is demonstrated on a real-world dataset about network traffic of a large computer network and its advantages and disadvantages are discussed in the context of alternative layouts.
Visualization Software for 3D Video Microscopy: A Design Study
(The Eurographics Association, 2012) Leitte, Heike; Fangerau, Jens; Lou, Xinghua; Höckendorf, Burkhard; Lemke, Steffen; Maizel, Alexis; Wittbrodt, Jochen; Miriah Meyer and Tino Weinkaufs
Modern microscopy techniques allow for fascinating new insights into the development of life. They produce, for example, digital 3D+T records of living embryos that reveal how a single cell develops into a complex specimen consisting of thousands of cells. To cope with the huge amount of data, dedicated software is required to help biologists visualize and analyze their data. In close cooperation with experts from biology and image processing, we developed a software for the visual analysis of 3D videos of growing organisms, which is introduced in this paper. We detail the implemented visualizations, the GUI design, and the incorporated interaction methods. We include results of the application of our software in three groups focusing on organismal studies and detail lessons learned of the two-year cooperative software development.
A Unified Representation for the Model-based Visualization of Heterogeneous Anatomy Data
(The Eurographics Association, 2012) Smit, N. N.; Kraima, A. C.; Jansma, D.; Ruiter, M. C. de; Botha, C. P.; Miriah Meyer and Tino Weinkaufs
In the course of anatomical research, anatomists acquire and attempt to organize a great deal of heterogeneous data from different sources, such as MRI and CT data, cryosections, immunohistochemistry, manual and automatic segmentations of various structures, related literature, the relations between all of these items, and so forth. Currently, there is no way of storing, accessing and visualizing these heterogeneous datasets in an integrated fashion. Such capabilities would have great potential to empower anatomy research. In this work, we present methods for the integration of heterogeneous spatial and non-spatial data from different sources, as well as the complex relations between them, into a single model with standardized anatomical coordinates. All captured data can then be interactively visualized in various ways, depending on the anatomical question. Furthermore, our model enables data to be queried both structurally, i.e., relative to existing anatomical structures, and spatially, i.e., with anatomical coordinates. When new patient-specific medical scans are added to the model, all available model information can be mapped to them. Using this mapping, model information can be transferred back to the new scans, thus enabling the creation of visualizations enriched with information not available in the scans themselves.
Projection-based Visualization of Dynamical Processes on Networks
(The Eurographics Association, 2012) Toosi, Farshad Ghassemi; Paulovich, Fernando V.; Hütt, Marc-Thorsten; Linsen, Lars; Miriah Meyer and Tino Weinkaufs
Dynamical processes on networks play an important role in systems biology and statistical physics. To understand these processes, it is essential to understand which topological properties of the network are the main factors for the dynamics. We present a visualization approach that allows for such investigations. For visual encoding of the network topology, we use a node-link diagram. The nodes, however, are placed according to the dynamical processes. We use a projection method of the time series data to generate animations that maintain the mental map and exhibit the behavior of the dynamics. Suitable coloring schemes for the nodes encode the current values of the dynamics and individual nodes can be investigated with linked views to a time series plot. We present case studies to demonstrate that our approach is effective for the observation whether the dynamical processes follow the network topology.
Fast Visualization of Gaussian Density Surfaces for Molecular Dynamics and Particle System Trajectories
(The Eurographics Association, 2012) Krone, Michael; Stone, John; Ertl, Thomas; Schulten, Klaus; Miriah Meyer and Tino Weinkaufs
We present an efficient algorithm for computation of surface representations enabling interactive visualization of large dynamic particle data sets. Our method is based on a GPU-accelerated data-parallel algorithm for computing a volumetric density map from Gaussian weighted particles. The algorithm extracts an isovalue surface from the computed density map, using fast GPU-accelerated Marching Cubes. This approach enables interactive frame rates for molecular dynamics simulations consisting of millions of atoms. The user can interactively adjust the display of structural detail on a continuous scale, ranging from atomic detail for in-depth analysis, to reduced detail visual representations suitable for viewing the overall architecture of molecular complexes. The extracted surface is useful for interactive visualization, and provides a basis for structure analysis methods.
Visualization of Large, Time-Dependent, Abstract Data with Integrated Spherical and Parallel Coordinates
(The Eurographics Association, 2012) Walker, James; Geng, Zhao; Jones, Mark; Laramee, Robert S; Miriah Meyer and Tino Weinkaufs
Parallel coordinates is one of the most popular and widely used visualization techniques for large, high dimensional data. Often, data attributes are visualized on individual axes with polylines joining them. However, some data attributes are more naturally represented with a spherical coordinate system. We present a novel coupling of parallel coordinates with spherical coordinates, enabling the visualization of vector and multi-dimensional data. The spherical plot is integrated as if it is an axis in the parallel coordinate visualization. This hybrid visualization benefits from enhanced visual perception, representing vector data in a more natural spatial domain and also reducing the number of parallel axes within the parallel coordinates plot. This raises several challenges which we discuss and provide solutions to, such as, visual clutter caused by over plotting and the computational complexity of visualizing large abstract, time-dependent data. We demonstrate the results of our work-in-progress visualization technique using biological animal tracking data of a large, multi-dimensional, time-dependent nature, consisting of tri-axial accelerometry samples as well as several additional attributes. In order to understand marine wildlife behavior, the acceleration vector is reconstructed in spherical coordinates and visualized alongside with the other data attributes to enable exploration, analysis and presentation of marine wildlife behavior.

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