EuroVisSTAR2015

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/12464

Browse

Now showing 1 - 8 of 8

Frontmatter: Eurographics Conference on Visualization (EuroVis) 2015 - STARs - State of The Art Reports
(Eurographics Association, 2015) Borgo, Rita; Ganovelli, Fabio; Viola, Ivan; -
On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges
(The Eurographics Association, 2015) Jänicke, Stefan; Franzini, Greta; Cheema, Muhammad Faisal; Scheuermann, Gerik; R. Borgo and F. Ganovelli and I. Viola
We present an overview of the last ten years of research on visualizations that support close and distant reading of textual data in the digital humanities. We look at various works published within both the visualization and digital humanities communities. We provide a taxonomy of applied methods for close and distant reading, and illustrate approaches that combine both reading techniques to provide a multifaceted view of the data. Furthermore, we list toolkits and potentially beneficial visualization approaches for research in the digital humanities. Finally, we summarize collaboration experiences when developing visualizations for close and distant reading, and give an outlook on future challenges in that research area.
The State of the Art in Visualizing Group Structures in Graphs
(The Eurographics Association, 2015) Vehlow, Corinna; Beck, Fabian; Weiskopf, Daniel; R. Borgo and F. Ganovelli and I. Viola
Graph visualizations encode relationships between objects. Abstracting the objects into group structures provides an overview of the data. Groups can be disjoint or overlapping, and might be organized hierarchically. However, the underlying graph still needs to be represented for analyzing the data in more depth. This work surveys research in visualizing group structures as part of graph diagrams. A particular focus is the explicit visual encoding of groups, rather than only using graph layout to implicitly indicate groups. We introduce a taxonomy of visualization techniques structuring the field into four main categories: visual node attributes vary properties of the node representation to encode the grouping, juxtaposed approaches use two separate visualizations, superimposed techniques work with two aligned visual layers, and embedded visualizations tightly integrate group and graph representation. We discuss results from evaluations of those techniques as well as main areas of application. Finally, we report future challenges based on interviews we conducted with leading researchers of the field.
A Survey of Graph-Based Representations and Techniques for Scientific Visualization
(The Eurographics Association, 2015) Wang, Chaoli; R. Borgo and F. Ganovelli and I. Viola
Graphs represent general node-link diagrams and have long been utilized in scientific visualization for data organization and management. However, using graphs as a visual representation and interface for navigating and exploring scientific data sets has a much shorter history yet the amount of work along this direction is clearly on the rise in recent years. In this paper, we take a holistic perspective and survey graph-based representations and techniques for scientific visualization. Specifically, we classify these representations and techniques into four categories, namely, partition-wise, relationship-wise, structure-wise, and provenance-wise. We survey related publications in each category, explaining the roles of graphs in related work and highlighting their similarities and differences. We also point out research trends and remaining challenges in graph-based representations and techniques for scientific visualization.
A Survey of Multi-faceted Graph Visualization
(The Eurographics Association, 2015) Hadlak, Steffen; Schumann, Heidrun; Schulz, Hans-Jörg; R. Borgo and F. Ganovelli and I. Viola
Graph visualization is an important field in information visualization that is centered on the graphical display of graph-structured data. Yet real world data is rarely just graph-structured, but instead exhibits multiple facets, such as multivariate attributes, or spatial and temporal frames of reference. In an effort to display different facets of a graph, such a wealth of visualization techniques has been developed in the past that current surveys focus on a single additional facet only in order to enumerate and classify them. This report builds on existing graph visualization surveys for the four common facets of partitions, attributes, time, and space. It contributes a generic high-level categorization of faceted graph visualization that subsumes the existing classifications, which can be understood as facet-specific refinements of the resulting categories. Furthermore, it extends beyond existing surveys by applying the same categorization to graph visualizations with multiple facets. For each of the introduced categories and considered facets, this overview provides visualization examples to illustrate instances of their realization.
A Survey of Visualization Systems for Malware Analysis
(The Eurographics Association, 2015) Wagner, Markus; Fischer, Fabian; Luh, Robert; Haberson, Andrea; Rind, Alexander; Keim, Daniel A.; Aigner, Wolfgang; R. Borgo and F. Ganovelli and I. Viola
Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important. The need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. While there are various automatic approaches and techniques available to detect, identify, or capture malware, the actual analysis of the ever-increasing number of suspicious samples is a time-consuming process for malware analysts. The use of visualization and highly interactive visual analytics systems can help to support this analysis process with respect to investigation, comparison, and summarization of malware samples. Currently, there is no survey available that reviews available visualization systems supporting this important and emerging field. We provide a systematic overview and categorization of malware visualization systems from the perspective of visual analytics. Additionally, we identify and evaluate data providers and commercial tools that produce meaningful input data for the reviewed malware visualization systems. This helps to reveal data types that are currently underrepresented, enabling new research opportunities in the visualization community.
Visualization of Biomolecular Structures: State of the Art
(The Eurographics Association, 2015) Kozlikova, Barbora; Krone, Michael; Lindow, Norbert; Falk, Martin; Baaden, Marc; Baum, Daniel; Viola, Ivan; Parulek, Julius; Hege, Hans-Christian; R. Borgo and F. Ganovelli and I. Viola
Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The report concludes with an outlook on promising and important research topics to enable further success in advancing the knowledge about interaction of molecular structures.
Visualizing High-Dimensional Data: Advances in the Past Decade
(The Eurographics Association, 2015) Liu, Shusen; Maljovec, Dan; Wang, Bei; Bremer, Peer-Timo; Pascucci, Valerio; R. Borgo and F. Ganovelli and I. Viola
Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization over the past 15 years. We aim at providing actionable guidance for data practitioners to navigate through a modular view of the recent advances, allowing the creation of new visualizations along the enriched information visualization pipeline and identifying future opportunities for visualization research.

Browse

Browsing EuroVisSTAR2015 by Title

Results Per Page

Sort Options