Alharbi, Naif ; Alharbi, Mohammad ; Martinez, Xavier ; Krone, Michael ; Rose, Alexander ; Baaden, Marc ; Laramee, Robert S. ; Chavent, Matthieu: Molecular Visualization of Computational Biology Data: A Survey of Surveys. In: EuroVis 2017 Short Papers, EuroVis 2017 Short Papers, 2017
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Baazizi, Mohamed Amine ; Ben Lahmar, Houssem ; Colazzo, Dario ; Ghelli, Giorgio ; Sartiani, Carlo: Schema Inference for Massive JSON Datasets. In: Proceedings of the Conference on Extending Database Technology (EDBT), Proceedings of the Conference on Extending Database Technology (EDBT), 2017, S. 222–233
Abstract
In the recent years JSON affirmed as a very popular dataformat for representing massive data collections. JSON datacollections are usually schemaless. While this ensures sev-eral advantages, the absence of schema information has im-portant negative consequences: the correctness of complexqueries and programs cannot be statically checked, userscannot rely on schema information to quickly figure out thestructural properties that could speed up the formulation ofcorrect queries, and many schema-based optimizations arenot possible.In this paper we deal with the problem of inferring aschema from massive JSON datasets. We first identify aJSON type language which is simple and, at the same time,expressive enough to capture irregularities and to give com-plete structural information about input data. We thenpresent our main contribution, which is the design of a schemainference algorithm, its theoretical study, and its implemen-tation based on Spark, enabling reasonable schema infer-ence time for massive collections. Finally, we report aboutan experimental analysis showing the effectiveness of our ap-proach in terms of execution time, precision, and concisenessof inferred schemas, and scalability.BibTeX
Bader, Patrick ; Le, Huy Viet ; Strotzer, Julian ; Henze, Niels: Exploring Interactions with Smart Windows for Sunlight Control. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17), Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17), 2017. — Rezensiertes Poster
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Bahrdt, Daniel ; Becher, Michael ; Funke, Stefan ; Krumpe, Filip ; Nusser, André ; Seybold, Martin ; Storandt, Sabine: Growing Balls in ℝd. In: Fekete, S. P. ; Ramachandran, V. (Hrsg.) ; Fekete, S. P. ; Ramachandran, V. (Hrsg.): Proceedings of the Meeting on Algorithm Engineering and Experiments (ALENEX), Proceedings of the Meeting on Algorithm Engineering and Experiments (ALENEX) : SIAM, 2017 — ISBN 978-1-61197-476-8, S. 247–258
Abstract
Given a set of prioritized balls with fixed centers in ℝd whose radii grow linearly over time, we want to compute the elimination order of these balls assuming that when two balls touch, the one with lower priority is ‘crushed’. A straightforward algorithm has running time O(n2 log n) which we improve to expected O(Δdn(log n + Δd)) where Δ = rmax/rmin is the ratio between largest and smallest radius amongst the balls. For a natural application of this problem, namely drawing labels on the globe, we have Δ = O(1). An efficient implementation based on a spherical Delaunay triangulation allows to compute the elimination order for millions of labels on commodity Desktop hardware. Dealing with rounding error induced robustness issues turned out to be one of the major challenges in the implementation.BibTeX
Becher, Michael ; Krone, Michael ; Reina, Guido ; Ertl, Thomas: Feature-based Volumetric Terrain Generation. In: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D), ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D), 2017
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Beck, Fabian ; Blascheck, Tanja ; Ertl, Thomas ; Weiskopf, Daniel: Word-Sized Eye Tracking Visualizations. In: Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.) ; Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.): Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015, Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015 : Springer, 2017
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Ben Lahmar, Houssem ; Herschel, Melanie: Provenance-based Recommendations for Visual Data Exploration. In: Proceedings of the USENIX Conference on Theory and Practice of Provenance (TAPP), Proceedings of the USENIX Conference on Theory and Practice of Provenance (TAPP), 2017, S. 1–7
Abstract
Visual data exploration allows users to analyze datasets based on visualizations of interesting data characteristics, to possibly discover interesting information about the data that users are a priori unaware of. In this context, both recommendations of queries selecting the data to be visualized and recommendations of visualizations that highlight interesting data characteristics support users in visual data exploration. So far, these two types of recommendations have been mostly considered in isolation of one another. We present a recommendation approach for visual data exploration that unifies query recommendation and visualization recommendation. The recommendations rely on two types of provenance, i.e., data provenance (aka lineage) and evolution provenance that tracks users' interactions with a data exploration system. This paper presents the provenance data model as well as the overall system architecture. We then provide details on our provenance-based recommendation algorithms. A preliminary experimental evaluation showcases the applicability of our solution in practice.BibTeX
Blascheck, Tanja: Understanding interactive visualizations: leveraging eye movements and visual analytics, University of Stuttgart, doctoralThesis, 2017
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Blascheck, Tanja ; Kurzhals, Kuno ; Raschke, Michael ; Burch, Michael ; Weiskopf, Daniel ; Ertl, Thomas: Visualization of Eye Tracking Data: A Taxonomy and Survey. In: Computer Graphics Forum, Computer Graphics Forum. (2017)
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Blascheck, Tanja ; Schweizer, Markus ; Beck, Fabian ; Ertl, Thomas: Visual Comparison of Eye Movement Patterns. In: Computer Graphics Forum, Computer Graphics Forum. Bd. 36 (2017), Nr. 3
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Blessing, Andre ; Echelmeyer, Nora ; John, Markus ; Reiter, Nils: An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis. In: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, H., Social Sciences ; . L. (Hrsg.) ; Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, H., Social Sciences ; . L. (Hrsg.): Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2017., Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2017., 2017
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Bruder, Valentin ; Frey, Steffen ; Ertl, Thomas: Prediction-Based Load Balancing and Resolution Tuning for Interactive Volume Raycasting. In: Visual Informatics, Visual Informatics. Bd. 1 (2017), Nr. 2, S. 106–117
Abstract
We present an integrated approach for real-time performance prediction of volume raycasting that we employ for load balancing and sampling resolution tuning. In volume rendering, the usage of acceleration techniques such as empty space skipping and early ray termination, among others, can cause significant variations in rendering performance when users adjust the camera configuration or transfer function. These variations in rendering times may result in unpleasant effects such as jerky motions or abruptly reduced responsiveness during interactive exploration. To avoid those effects, we propose an integrated approach to adapt rendering parameters according to performance needs. We assess performance-relevant data on-the-fly, for which we propose a novel technique to estimate the impact of early ray termination. On the basis of this data, we introduce a hybrid model, to achieve accurate predictions with minimal computational footprint. Our hybrid model incorporates aspects from analytical performance modeling and machine learning, with the goal to combine their respective strengths. We show the applicability of our prediction model for two different use cases: (1) to dynamically steer the sampling density in object and/or image space and (2) to dynamically distribute the workload among several different parallel computing devices. Our approach allows to reliably meet performance requirements such as a user-defined frame rate, even in the case of sudden large changes to the transfer function or the camera orientation.BibTeX
Burch, Michael ; Hlawatsch, Marcel ; Weiskopf, Daniel: Visualizing a Sequence of a Thousand Graphs (or Even More). In: Computer Graphics Forum, Computer Graphics Forum. Bd. 36 (2017), Nr. 3
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Chuang, Lewis ; Gehring, Sven ; Kay, Judy ; Schmidt, Albrecht: Ambient Notification Environments (Dagstuhl Seminar 17161). In: Chuang, L. ; Gehring, S. ; Kay, J. ; Schmidt, A. (Hrsg.) Dagstuhl Reports, Dagstuhl Reports. Bd. 7. Dagstuhl, Germany, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik (2017), Nr. 4, S. 38--82
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Diederichs, Frederik ; Brouwer, Nina ; Klöden, Horst ; Zahn, Peter ; Schmitz, Bernhard: Application of a Driver Intention Recognition Algorithm on a Pedestrian Intention Recognition and Collision Avoidance System. In: Bengler, K. ; Drüke, J. ; Hoffman, S. ; Manstetten, D. ; Neukum, A. (Hrsg.) ; Bengler, K. ; Drüke, J. ; Hoffman, S. ; Manstetten, D. ; Neukum, A. (Hrsg.): UR:BAN Human Factors in Traffic - Approaches for Safe, Efficient and Stress-free Urban Traffic, UR:BAN Human Factors in Traffic - Approaches for Safe, Efficient and Stress-free Urban Traffic : Springer Fachmedien, 2017
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Diestelkämper, Ralf ; Herschel, Melanie ; Jadhav, Priyanka: Provenance in DISC Systems: Reducing Space Overhead at Runtime. In: Proceedings of the USENIX Conference on Theory and Practice of Provenance (TAPP), Proceedings of the USENIX Conference on Theory and Practice of Provenance (TAPP), 2017, S. 1–13
Abstract
Data intensive scalable computing (DISC) systems, such asApache Hadoop or Spark, allow to process large amountsof heterogenous data. For varying provenance applications,emerging provenance solutions for DISC systems track allsource data items through each processing step, imposing ahigh space and time overhead during program execution.We introduce a provenance collection approach that re-duces the space overhead at runtime by sampling the inputdata based on the definition of equivalence classes. A pre-liminary empirical evaluation shows that this approach al-lows to satisfy many use cases of provenance applications indebugging and data exploration, indicating that provenancecollection for a fraction of the input data items often suf-fices for selected provenance applications. When additionalprovenance is required, we further outline a method to col-lect provenance at query time, reusing, when possible, par-tial provenance already collected during program executionBibTeX
Dingler, Tilman ; Weber, Dominik ; Pielot, Martin ; Cooper, Jennifer ; Chang, Chung-Cheng ; Henze, Niels: Language Learning On-the-go: Opportune Moments and Design of Mobile Microlearning Sessions. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services. Vienna, Austria : ACM, 2017 — ISBN 978-1-4503-5075-4, S. 28:1--28:12
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Fernandes, Oliver ; Frey, Steffen ; Ertl, Thomas: Transportation-based Visualization of Energy Conversion. In: Springer (Hrsg.) ; Springer (Hrsg.): : SCITEPRESS, 2017
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Frey, Steffen: Sampling and Estimation of Pairwise Similarity in Spatio-Temporal Data Based on Neural Networks. In: Informatics, Informatics. Bd. 4 : Multidisciplinary Digital Publishing Institute (MDPI), 2017, S. 27
Abstract
Increasingly fast computing systems for simulations and high-accuracy measurement techniques drive the generation of time-dependent volumetric data sets with high resolution in both time and space. To gain insights from this spatio-temporal data, the computation and direct visualization of pairwise distances between time steps not only supports interactive user exploration, but also drives automatic analysis techniques like the generation of a meaningful static overview visualization, the identification of rare events, or the visual analysis of recurrent processes. However, the computation of pairwise differences between all time steps is prohibitively expensive for large-scale data not only due to the significant cost of computing expressive distance between high-resolution spatial data, but in particular owing to the large number of distance computations (O(|T|2)) , with |T| being the number of time steps). Addressing this issue, we present and evaluate different strategies for the progressive computation of similarity information in a time series, as well as an approach for estimating distance information that has not been determined so far. In particular, we investigate and analyze the utility of using neural networks for estimating pairwise distances. On this basis, our approach automatically determines the sampling strategy yielding the best result in combination with trained networks for estimation. We evaluate our approach with a variety of time-dependent 2D and 3D data from simulations and measurements as well as artificially generated data, and compare it against an alternative technique. Finally, we discuss prospects and limitations, and discuss different directions for improvement in future work.BibTeX
Frey, Steffen ; Ertl, Thomas: Progressive Direct Volume-to-Volume Transformation. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23, IEEE (2017), Nr. 1, S. 921–930. — IEEE VIS Conference, Baltimore, MD, Oct 23-28, 2016
Abstract
We present a novel technique to generate transformations between arbitrary volumes, providing both expressive distances and smooth interpolates. In contrast to conventional morphing or warping approaches, our technique requires no user guidance, intermediate representations (like extracted features), or blending, and imposes no restrictions regarding shape or structure. Our technique operates directly on the volumetric data representation, and while linear programming approaches could solve the underlying problem optimally, their polynomial complexity makes them infeasible for high-resolution volumes. We therefore propose a progressive refinement approach designed for parallel execution that is able to quickly deliver approximate results that are iteratively improved toward the optimum. On this basis, we further present a new approach for the streaming selection of time steps in temporal data that allows for the reconstruction of the full sequence with a user-specified error bound. We finally demonstrate the utility of our technique for different applications, compare our approach against alternatives, and evaluate its characteristics with a variety of different data sets.BibTeX
Frey, Steffen ; Ertl, Thomas: Flow-Based Temporal Selection for Interactive Volume Visualization. In: Computer Graphics Forum, Computer Graphics Forum. Bd. 36 (2017), Nr. 8, S. 153–165
Abstract
We present an approach to adaptively select time steps from time‐dependent volume data sets for an integrated and comprehensive visualization. This reduced set of time steps not only saves cost, but also allows to show both the spatial structure and temporal development in one combined rendering. Our selection optimizes the coverage of the complete data on the basis of a minimum‐cost flow‐based technique to determine meaningful distances between time steps. As both optimal solutions of the involved transport and selection problem are prohibitively expensive, we present new approaches that are significantly faster with only minor deviations. We further propose an adaptive scheme for the progressive incorporation of new time steps. An interactive volume raycaster produces an integrated rendering of the selected time steps, and their computed differences are visualized in a dedicated chart to provide additional temporal similarity information. We illustrate and discuss the utility of our approach by means of different data sets from measurements and simulation.BibTeX
Funk, Markus ; Lischke, Lars ; Mayer, Sven: Neue Impulse für visuelle Kommissioniersddistenzsysteme aus der Mensch-Computer-Interaktion. In: Warehousing 4.0, Warehousing 4.0 : B+G Wissenschaftsverlag, 2017
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Funk, Markus ; Lischke, Lars ; Mayer, Sven: Neue Impulse für visuelle Kommissionierassistenzsysteme aus der Mensch-Computer-Interaktion. In: Warehousing 4.0, Warehousing 4.0. 2017. Aufl. : B+G Wissenschaftsverlag, 2017
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Gralka, Patrick ; Schulz, Christoph ; Reina, Guido ; Weiskopf, Daniel ; Ertl, Thomas: Visual Exploration of Memory Traces and Call Stacks. In: Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT) : IEEE, 2017, S. 54–63
Abstract
Analysis of software performance typically takes into account clock cycles and memory consumption at each sampling point in time. Although this is a valid strategy, we argue that it is also worth investigating data and control flow structures, as observed using memory traces and call stacks, because of their importance for performance engineering. In this work, we present a visual approach to memory profiling that supports analysis of memory layout, access patterns, and aliasing in correlation to program execution. Our method leverages language-agnostic dynamic code instrumentation to minimize the impact of tracing on performance, i.e., the application remains usable on commodity hardware. The profiled data is then clustered and visualized using a density-based scatter plot. If debug symbols are available, the scatter plot is augmented by a flame graph to ease linking to the high-level source code. Our visualization helps software engineers to identify runtime behavior by relating memory addresses to instruction execution. We demonstrate our approach using a set of examples revealing different memory access patterns and discuss their influence on software performance.BibTeX
Greis, Miriam ; Schuff, Hendrik ; Kleiner, Marius ; Henze, Niels ; Schmidt, Albrecht: Input Controls for Entering Uncertain Data: Probability Distribution Sliders. In: Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Human-Computer Interaction. Bd. 1, 2017
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Greis, Miriam ; Avci, Emre ; Schmidt, Albrecht ; Machulla, Tonja: Increasing Users’ Confidence in Uncertain Data by Aggregating Data from Multiple Sources. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2017, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2017, 2017
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Greis, Miriam ; Hullman, Jessica ; Correll, Michael ; Kay, Matthew ; Shaer, Orit: Designing for Uncertainty in HCI: When Does Uncertainty Help? In: CHI’17 Extended Abstracts, CHI’17 Extended Abstracts, 2017
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Greis, Miriam ; Dingler, Tilman ; Schmidt, Albrecht ; Schmandt, Chris: Leveraging User-made Predictions to Help Understand Personal Behavior Patterns. In: , 2017. — Rezensiertes Poster
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Han, Qi ; Heimerl, Florian ; Codina-Filba, Joan ; Lohmann, Steffen ; Ertl, Thomas ; Wanner, Leo: Visual patent trend analysis for informed decision making in technology management. In: World Patent Information, World Patent Information. Bd. 49, 2017
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Hassib, Mariam Adel ; Buschek, Daniel ; Woźniak, Paweł W. ; Alt, Florian: HeartChat: Heart Rate Augmented Mobile Messaging to Support Empathy and Awareness. In: ACM (Hrsg.) Proceedings of the 35th SIGCHI Conference on Human Factors in Computing Systems, Proceedings of the 35th SIGCHI Conference on Human Factors in Computing Systems. (2017)
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Hassib, Mariam Adel ; Schneegaß, Stefan ; Eiglsperger, Philipp ; Henze, Niels ; Schmidt, Albrecht ; Alt, Florian: EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography. In: ACM (Hrsg.) Proceedings of the 35th Conference on Human Factors in Computing Systems (CHI’17), Proceedings of the 35th Conference on Human Factors in Computing Systems (CHI’17). (2017)
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Hassib, Mariam Adel ; Pfeiffer, Max ; Schneegaß, Stefan ; Rohs, Michael ; Alt, Florian: Emotion Actuator: Embodied Emotional Feedback through Electroencephalography and Electrical Muscle Stimulation. In: ACM (Hrsg.) Proceedings of the 35th Conference on Human Factors in Computing Systems (CHI’17), Proceedings of the 35th Conference on Human Factors in Computing Systems (CHI’17). (2017)
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Heinemann, Moritz ; Bruder, Valentin ; Frey, Steffen ; Ertl, Thomas: Power Efficiency of Volume Raycasting on Mobile Devices. In: Proceedings of the Eurographics Conference on Visualization (EuroVis) - Poster Track, Proceedings of the Eurographics Conference on Visualization (EuroVis) - Poster Track, 2017. — Poster
Abstract
Power efficiency is one of the most important factors for the development of compute-intensive applications in the mobile domain. In this work, we evaluate and discuss the power consumption of a direct volume rendering app based on raycasting on a mobile system. For this, we investigate the influence of a broad set of algorithmic parameters, which are relevant for performance and rendering quality, on the energy usage of the system. Additionally, we compare an OpenCL implementation to a variant using OpenGL. By means of a variety of examples, we demonstrate that numerous factors can have a significant impact on power consumption. In particular, we also discuss the underlying reasons for the respective effects.BibTeX
Hempert, Fabian ; Boblest, Sebastian ; Ertl, Thomas ; Sadlo, Filip ; Offenhäuser, Philipp ; Glass, Colin W. ; Hoffmann, Malte ; Beck, Andrea ; u. a.: Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method. In: Computers & Fluids, Computers & Fluids. Bd. 145, Elsevier (2017)
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Henze, Niels ; Mayer, Sven ; Le, Huy Viet ; Schwind, Valentin: Improving Software-reduced Touchscreen Latency,” in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services : ACM, 2017. — Rezensiertes Poster
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Henze, Niels ; Martin, Ullrich ; Rieger, Monika A ; Lischke, Lars ; Mayer, Sven ; von Molo, Carlo ; Steinhilber, Benjamin ; Wagenblast, Florestan: Konzept zur Entwicklung moderner Bedienformen für Betriebszentralen. In: ETR - Eisenbahntechnische Rundschau, ETR - Eisenbahntechnische Rundschau. Bd. 1, Eurailpress – Deutscher Verkehrs-Verlag (2017). — Populärwissenschaftlicher Magazinartikel
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Hermosilla, Pedro ; Krone, Michael ; Guallar, Victor ; Vázquez, Pere-Pau ; Vinacua, Àlvar ; Ropinski, Timo: Interactive GPU-based Generation of Solvent Excluded Surfaces. In: The Visual Computer (Proceedings of CGI’2017), The Visual Computer (Proceedings of CGI’2017). Bd. 33, Springer (2017), Nr. 6, S. 869–881
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Herr, Dominik ; Han, Qi ; Lohmann, Steffen ; Ertl, Thomas: Hierarchy-based projection of high-dimensional Labeled Data to Reduce Visual Clutter. In: Elsevier (Hrsg.) Computers & Graphics, Computers & Graphics. Bd. 62 (2017)
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Herr, Dominik ; Reinhardt, Jan ; Krüger, Robert ; Reina, Guido ; Ertl, Thomas: Immersive Visual Analytics for Modular Factory Layout Planning. In: IEEE (Hrsg.) ; IEEE (Hrsg.): Workshop on Immersive Analytics, Workshop on Immersive Analytics : IEEE, 2017
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Herschel, Melanie ; Diestelkämper, Ralf ; Ben Lahmar, Houssem: A Survey on Provenance - What for? What form? What from? In: The VLDB Journal, The VLDB Journal. Bd. 26 (2017), S. 881–906
Abstract
Provenance refers to any information describing the production process of an end product, which can be anything from a piece of digital data to a physical object. While this survey focuses on the former type of end product, this definition still leaves room for many different interpretations of and approaches to provenance. These are typically motivated by different application domains for provenance (e.g., accountability, reproducibility, process debugging) and varying technical requirements such as runtime, scalability, or privacy. As a result, we observe a wide variety of provenance types and provenance-generating methods. This survey provides an overview of the research field of provenance, focusing on what provenance is used for (what for?), what types of provenance have been defined and captured for the different applications (what form?), and which resources and system requirements impact the choice of deploying a particular provenance solution (what from?). For each of these three key questions, we provide a classification and review the state of the art for each class. We conclude with a summary and possible future research challenges.BibTeX
Hoppe, Matthias ; Boldt, Robin ; Strauß, Jan ; Lischke, Lars ; Weber, Dominik ; Henze, Niels: Image Browsing on Large High-resolution Displays. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. Stuttgart, Germany : ACM, 2017 — ISBN 978-1-4503-5378-6, S. 401--405
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Hube, Natalie ; Müller, Mathias ; Groh, Rainer: Additional On-Demand Dimension for Data Visualization. In: Kozlíková, B. ; Schreck, T. ; Wischgoll, T. (Hrsg.) ; Kozlíková, B. ; Schreck, T. ; Wischgoll, T. (Hrsg.): EuroVis (Short Papers), EuroVis (Short Papers) : Eurographics Association, 2017, S. 163–167
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Huber, Markus ; Eberhardt, Bernhard ; Weiskopf, Daniel: Cloth Animation Retrieval Using a Motion-shape Signature. In: IEEE Computer Graphics and Applications, IEEE Computer Graphics and Applications. (2017)
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Iseringhausen, Julian ; Goldlücke, Bastian ; Pesheva, Nina ; Iliev, Stanimir ; Wender, Alexander ; Fuchs, Martin ; Hullin, Matthias B.: 4D Imaging through Spray-On Optics. In: ACM Trans. Graph. (Proc. SIGGRAPH 2017), ACM Trans. Graph. (Proc. SIGGRAPH 2017). Bd. 36, 2017
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John, Markus ; Richter, Christian ; Kuczera, Andreas ; Koch, Steffen ; Ertl, Thomas: Interactive Visual Exploration of the Regesta Imperii. In: of the Digital Humanities, P. (Hrsg.) ; of the Digital Humanities, P. (Hrsg.): Proceedings of the Digital Humanities 2017, Proceedings of the Digital Humanities 2017 : Proceedings of the Digital Humanities 2017, 2017
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John, Markus ; Koch, Steffen ; Ertl, Thomas: Uncertainty in Visual Text Analysis in the Context of the Digital Humanities. In: on CHI 2017), DESIGNING FOR UNCERTAINTY IN HCI: WHEN DOES UNCERTAINTY HELP? (Workshop (Hrsg.) ; on CHI 2017), DESIGNING FOR UNCERTAINTY IN HCI: WHEN DOES UNCERTAINTY HELP? (Workshop (Hrsg.): DESIGNING FOR UNCERTAINTY IN HCI: WHEN DOES UNCERTAINTY HELP? (Workshop on CHI 2017), DESIGNING FOR UNCERTAINTY IN HCI: WHEN DOES UNCERTAINTY HELP? (Workshop on CHI 2017) : DESIGNING FOR UNCERTAINTY IN HCI: WHEN DOES UNCERTAINTY HELP? (Workshop on CHI 2017), 2017
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John, Markus ; Bender, Michael ; Alscher, Stefan ; Müller, Andreas ; Koch, Steffen ; Kuhn, Jonas ; Richter, Sandra ; Rapp, Andrea ; u. a.: Korpuserschließung und Visualisierung deutschsprachiger Poetiken. In: Timme, F. & (Hrsg.) Digitale Geisteswissenschaften, Digitale Geisteswissenschaften., Frank & Timme (2017)
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Ju, Yong-Chul: PDE-based vs. Variational Methods for Perspective Shape from Shading, Universität Stuttgart, 2017
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Karch, Grzegorz Karol ; Beck, Fabian ; Ertl, Moritz ; Meister, Christian ; Schulte, Kathrin ; Weigand, Bernhard ; Ertl, Thomas ; Sadlo, Filip: Visual Analysis of Inclusion Dynamics in Two-Phase Flow. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. (2017)
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Karch, Grzegorz Karol ; Straub, Alexander ; Sadlo, Filip ; Ertl, Thomas: Implicit Visualization of Vector Field Topology. In: Proceedings of TopoInVis, Proceedings of TopoInVis, 2017. — Reviewed abstract
Abstract
Vector field topology is traditionally visualized by explicit extraction of graphical objects that represent the topological skeleton, including critical points, periodic orbits, and the invariant manifolds converging to those in forward or reverse time. In this work, we present implicit visualization of vector field topology by means of derived scalar fields. We obtain these fields by seeding a forward and a reverse streamline at each of their samples, and determining which critical point, periodic orbit, or solid boundary they converge to. This provides a segmentation of the domain with respect to regions of qualitatively similar streamline behavior, and thus its topological structure.We present an adaptive sampling strategy of the fields, together with an approach to determine their convergence with respect to streamline integration. Using 2D and 3D fields, we exemplify the utility and interpretation of our approach.BibTeX
Kratt, Julian ; Eisenkeil, Ferdinand ; Spicker, Marc ; Wang, Yunhai ; Weiskopf, Daniel ; Deussen, Oliver: Structure-aware Stylization of Mountainous Terrains. In: Hullin, M. ; Klein, R. ; Schultz, T. ; Yao, A. (Hrsg.) ; Hullin, M. ; Klein, R. ; Schultz, T. ; Yao, A. (Hrsg.): Vision, Modeling & Visualization, Vision, Modeling & Visualization : The Eurographics Association, 2017 — ISBN 978-3-03868-049-9
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Krone, Michael ; Frieß, Florian ; Scharnowski, Katrin ; Reina, Guido ; Fademrecht, Silvia ; Kulschewski, Tobias ; Pleiss, Jürgen ; Ertl, Thomas: Molecular Surface Maps. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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Krone, Michael ; Reina, Guido ; Zahn, Sebastian ; Tremel, Tina ; Bahnmüller, Carsten ; Ertl, Thomas: Implicit Sphere Shadow Maps. In: IEEE PacificVis - Visualization Notes, IEEE PacificVis - Visualization Notes. Bd. 4, 2017
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Krone, Michael ; Schatz, Karsten ; Hieronymus, Nora ; Müller, Christoph ; Becher, Michael ; Barthelmes, Tina ; Cooper, April ; Currle, Steffen ; u. a.: From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition. In: Proceedings of SIGRAD 2017, Proceedings of SIGRAD 2017, 2017
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Krüger, Robert ; Tremel, Tina ; Thom, Dennis: VESPA 2.0: Data-Driven Behavior Models for Visual Analytics of Movement Sequences. In: IEEE (Hrsg.) ; IEEE (Hrsg.): International Symposium on Big Data Visual Analytics (BDVA), International Symposium on Big Data Visual Analytics (BDVA) : IEEE, 2017
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Kurzhals, Kuno ; Hlawatsch, Marcel ; Seeger, Christof ; Weiskopf, Daniel: Visual Analytics for Mobile Eye Tracking. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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Kurzhals, Kuno ; Çetinkaya, Emine ; Hu, Yongtao ; Wang, Wenping ; Weiskopf, Daniel: Close to the Action: Eye-tracking Evaluation of Speaker-following Subtitles. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the CHI Conference on Human Factors in Computing Systems, Proceedings of the CHI Conference on Human Factors in Computing Systems, 2017, S. 6559–6568
Abstract
The incorporation of subtitles in multimedia content plays an important role in communicating spoken content. For example, subtitles in the respective language are often preferred to expensive audio translation of foreign movies. The traditional representation of subtitles displays text centered at the bottom of the screen. This layout can lead to large distances between text and relevant image content, causing eye strain and even that we miss visual content. As a recent alternative, the technique of speaker-following subtitles places subtitle text in speech bubbles close to the current speaker. We conducted a controlled eye-tracking laboratory study (n = 40) to compare the regular approach (center-bottom subtitles) with content-sensitive, speaker-following subtitles. We compared different dialog-heavy video clips with the two layouts. Our results show that speaker-following subtitles lead to higher fixation counts on relevant image regions and reduce saccade length, which is an important factor for eye strain.BibTeX
Kurzhals, Kuno ; Stoll, Michael ; Bruhn, Andrés ; Weiskopf, Daniel: FlowBrush: Optical Flow Art. In: Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., 2017, S. 1:1-1:9
Abstract
The depiction of motion in static representations has a long tradition in art and science alike. Often, motion is depicted by spatio-temporal summarizations that try to preserve as much information of the original dynamic content as possible. In our approach to depicting motion, we remove the spatial constraints and generate new content steered by the temporal changes in motion. Applying particle steering in combination with the dynamic color palette of the video content, we can create a wide range of different image styles. With recorded videos, or by live interaction with a webcam, one can influence the resulting image. We provide a set of intuitive parameters to affect the style of the result, the final image content depends on the video input. Based on a collection of results gathered from test users, we discuss example styles that can be achieved with FlowBrush. In general, our approach provides an open sandbox for creative people to generate aesthetic images from any video content they apply.BibTeX
Kurzhals, Kuno ; Burch, Michael ; Blascheck, Tanja ; Andrienko, Gennady ; Andrienko, Natalia ; Weiskopf, Daniel: A Task-Based View on the Visual Analysis of Eye Tracking Data. In: Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.) ; Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.): Eye Tracking and Visualization, Eye Tracking and Visualization : Springer, 2017, S. 3--22
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Le, Huy Viet ; Mayer, Sven ; Henze, Niels: Machine Learning with Tensorflow for Mobile and Ubiquitous Interaction. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. Stuttgart, Germany : ACM, 2017 — ISBN 978-1-4503-5378-6, S. 567--572
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Le, Huy Viet ; Mayer, Sven ; Bader, Patrick ; Bastian, Frank ; Henze, Niels: Interaction Methods and Use Cases for a Full-Touch Sensing Smartphone. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17), Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17), 2017. — Rezensiertes Poster
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Le, Huy Viet ; Schwind, Valentin ; Göttlich, Philipp ; Henze, Niels: PredicTouch: A System to Reduce Touchscreen Latency using Neural Networks and Inertial Measurement Units. In: ACM (Hrsg.) Proceedings of the 2017 International Conference on Interactive Surfaces and Spaces, Proceedings of the 2017 International Conference on Interactive Surfaces and Spaces. Bd. 17, ACM (2017)
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Le, Huy Viet ; Mayer, Sven ; Bader, Patrick ; Henze, Niels: A Smartphone Prototype for Touch Interaction on the Whole Device Surface. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI ’17), Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI ’17), 2017. — Rezensiertes Poster
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Lischke, Lars ; Mayer, Sven ; Hoffmann, Jan ; Kratzer, Philipp ; Roth, Stephan ; Wolf, Katrin ; Woźniak, Paweł W.: Interaction Techniques for Window Management on Large High-Resolution Displays. In: The 16th International Conference on Mobile and Ubiquitous Multimedia, The 16th International Conference on Mobile and Ubiquitous Multimedia : ACM, 2017
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Lischke, Lars ; Hoffmann, Jan ; Krüger, Robert ; Bader, Patrick ; Woźniak, Paweł W. ; Schmidt, Albrecht: Towards Interaction Techniques for Social Media Data Exploration on Large High-Resolution Displays. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the 2017 Conference on Human Factors in Computing Systems (CHI EA’17), Proceedings of the 2017 Conference on Human Factors in Computing Systems (CHI EA’17) : ACM, 2017. — Rezensiertes Poster
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Maurer, Daniel ; Stoll, Michael ; Volz, Sebastian ; Gairing, Patrick ; Bruhn, Andrés: A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow. In: Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.) ; Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.): Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science. Bd. 10302 : Springer International Publishing, 2017 — ISBN 978-3-319-58771-4, S. 537–549
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Maurer, Daniel ; Bruhn, Andrés ; Stoll, Michael: Order-adaptive and Illumination-aware Variational Optical Flow Refinement. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2017, S. 150:1-150:13
Abstract
Variational approaches form an inherent part of most state-of-the-art pipeline approaches for optical flow computation. As the final step of the pipeline, the aim is to refine an initial flow field typically obtained by inpainting non-dense matches in order to provide highly accurate results. In this paper, we take advantage of recent improvements in variational optical flow estimation to construct an advanced variational model for this final refinement step. By combining an illumination aware data term with an order adaptive smoothness term, we obtain a highly flexible model that is able to cope well with a broad variety of different scenarios. Moreover, we propose the use of an additional reduced coarse-to-fine scheme instead of an exclusive initialisation scheme, which not only allows to refine the initialisation but also allows to correct larger erroneous displacements. Experiments on recent optical flow benchmarks show the advantages of the advanced variational refinement and the reduced coarse to fine scheme.BibTeX
Maurer, Daniel ; Stoll, Michael ; Bruhn, Andrés: Order-adaptive Regularisation for Variational Optical Flow: Global, Local and in Between. In: Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.) ; Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.): Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science. Bd. 10302 : Springer International Publishing, 2017 — ISBN 978-3-319-58771-4, S. 550–562
Abstract
Recent approaches for variational motion estimation typically either rely on first or second order regularisation strategies. While first order strategies are more appropriate for scenes with fronto-parallel motion, second order constraints are superior if it comes to the estimation of affine flow fields. Since using the wrong regularisation order may lead to a significant deterioration of the results, it is surprising that there has not been much effort in the literature so far to determine this order automatically. In our work, we address the aforementioned problem in two ways. (i) First, we discuss two anisotropic smoothness terms of first and second order, respectively, that share important structural properties and that are thus particularly suited for being combined within an order-adaptive variational framework. (ii) Secondly, based on these two smoothness terms, we develop four different variational methods and with it four different strategies for adaptively selecting the regularisation order: a global and a local strategy based on half-quadratic regularisation, a non-local approach that relies on neighbourhood information, and a region based method using level sets. Experiments on recent benchmarks show the benefits of each of the strategies. Moreover, they demonstrate that adaptively combining different regularisation orders not only allows to outperform single-order strategies but also to obtain advantages beyond the ones of a frame-wise selection.BibTeX
Mayer, Sven ; Le, Huy Viet ; Henze, Niels: Machine Learning for Intelligent Mobile User Interfaces Using TensorFlow. In: ACM (Hrsg.) ; ACM (Hrsg.): roceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, roceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services : ACM, 2017. — Rezensiertes Poster
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Mayer, Sven ; Perihan, Gad ; Wolf, Katrin ; Woźniak, Paweł W. ; Henze, Niels: Understanding the Ergonomic Constraints in Designing for Touch Surfaces. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services : ACM, 2017
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Mayer, Sven ; Henze, Niels: Feasibility Analysis of Detecting the Finger Orientation with Depth Cameras. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. Bd. 2017 : ACM, 2017. — Rezensiertes Poster
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Mayer, Sven ; Mayer, Michael ; Henze, Niels: Feasibility Analysis of Detecting the Finger Orientation with Depth Cameras. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct : ACM, 2017. — Rezensiertes Poster
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Mayer, Sven ; Knierim, Pascal ; Woźniak, Paweł W. ; Funk, Markus: How Drones Can Support Backcountry Activities. In: Proceedings of the 2017 natureCHI workshop, in conjunction with ACM mobileHCI’17, Proceedings of the 2017 natureCHI workshop, in conjunction with ACM mobileHCI’17, 2017
BibTeX
Mayer, Sven ; Le, Huy Viet ; Henze, Niels: Estimating the Finger Orientation on Capacitive Touchscreens Using Convolutional Neural Networks. In: ACM (Hrsg.) Proceedings of the 2017 International Conference on Interactive Surfaces and Spaces, Proceedings of the 2017 International Conference on Interactive Surfaces and Spaces. Bd. 17, ACM (2017)
BibTeX
Merino, Leonel ; Fuchs, Johannes ; Blumenschein, Michael ; Anslow, Craig ; Ghafari, Mohammad ; Nierstrasz, Oscar ; Behrisch, Michael ; Keim, Daniel A.: On the Impact of the Medium in the Effectiveness of 3D Software Visualizations. In: Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT) : IEEE, 2017, S. 11–21
Abstract
Many visualizations have proven to be effective in supporting various software related tasks. Although multiple media can be used to display a visualization, the standard computer screen is used the most. We hypothesize that the medium has a role in their effectiveness. We investigate our hypotheses by conducting a controlled user experiment. In the experiment we focus on the 3D city visualization technique used for software comprehension tasks. We deploy 3D city visualizations across a standard computer screen (SCS), an immersive 3D environment (I3D), and a physical 3D printed model (P3D). We asked twenty-seven participants (whom we divided in three groups for each medium) to visualize software systems of various sizes, solve a set of uniform comprehension tasks, and complete a questionnaire. We measured the effectiveness of visualizations in terms of performance, recollection, and user experience. We found that even though developers using P3D required the least time to identify outliers, they perceived the least difficulty when visualizing systems based on SCS. Moreover, developers using I3D obtained the highest recollection.BibTeX
Müller, Mathias ; Keck, Mandy ; Gründer, Thomas ; Hube, Natalie ; Groh, Hube: A Zoomable Product Browser for Elastic Displays. In: 5th Conference on Computation, Communication, Aesthetics & X, Proceedings xCoAx, 5th Conference on Computation, Communication, Aesthetics & X, Proceedings xCoAx, 2017, S. 1--10
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Netzel, Rudolf ; Hlawatsch, Marcel ; Burch, Michael ; Balakrishnan, Sanjeev ; Schmauder, Hansjörg ; Weiskopf, Daniel: An Evaluation of Visual Search Support in Maps. In: IEEE (Hrsg.) IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
BibTeX
Netzel, Rudolf ; Vuong, Jenny ; Engelke, Ulrich ; O ; Weiskopf, Daniel ; Heinrich, Julian: Comparative Eye-tracking Evaluation of Scatterplots and Parallel Coordinates. In: Visual Informatics, Visual Informatics. Bd. 1 (2017), Nr. 2, S. 118–131
Abstract
We investigate task performance and reading characteristics for scatterplots (Cartesian coordinates) and parallel coordinates. In a controlled eye-tracking study, we asked 24 participants to assess the relative distance of points in multidimensional space, depending on the diagram type (parallel coordinates or a horizontal collection of scatterplots), the number of data dimensions (2, 4, 6, or 8), and the relative distance between points (15%, 20%, or 25%). For a given reference point and two target points, we instructed participants to choose the target point that was closer to the reference point in multidimensional space. We present a visual scanning model that describes different strategies to solve this retrieval task for both diagram types, and propose corresponding hypotheses that we test using task completion time, accuracy, and gaze positions as dependent variables. Our results show that scatterplots outperform parallel coordinates significantly in 2 dimensions, however, the task was solved more quickly and more accurately with parallel coordinates in 8 dimensions. The eye-tracking data further shows significant differences between Cartesian and parallel coordinates, as well as between different numbers of dimensions. For parallel coordinates, there is a clear trend toward shorter fixations and longer saccades with increasing number of dimensions. Using an area-of-interest (AOI) based approach, we identify different reading strategies for each diagram type: For parallel coordinates, the participants’ gaze frequently jumped back and forth between pairs of axes, while axes were rarely focused on when viewing Cartesian coordinates. We further found that participants’ attention is biased: toward the center of the whole plotfor parallel coordinates and skewed to the center/left side for Cartesian coordinates. We anticipate that these results may support the design of more effective visualizations for multidimensional data.BibTeX
Okoshi, Tadashi ; Exler, Anja ; Voit, Alexandra ; Weber, Dominik ; Pielot, Martin ; Poppinga, Benjamin ; Henze, Niels ; Gehring, Sven ; u. a.: UbiTtention 2017: 2nd international workshop on smart & ambient notification and attention management. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM Internation on Wearable Computersal Symposium, Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM Internation on Wearable Computersal Symposium : ACM, 2017. — Rezensiertes Poster
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Pflüger, Hermann: Sets of images as units of meaning. 2017. Aufl. : ePubli, 2017
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Rau, Tobias ; Krone, Michael ; Reina, Guido ; Ertl, Thomas: Challenges and Opportunities using Software-defined Visualization in MegaMol. In: 7th Workshop on Visual Analytics, Information Visualization and Scientific Visualization, 7th Workshop on Visual Analytics, Information Visualization and Scientific Visualization, 2017
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Reinhardt, Stefan ; Huber, Markus ; Dumitrescu, Otilia ; Krone, Michael ; Eberhardt, Bernhard ; Weiskopf, Daniel: Visual Debugging of SPH Simulations. In: International Conference on Information Visualisation (IV), International Conference on Information Visualisation (IV). Bd. 21, 2017, S. 117–126
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Reinhardt, Stefan ; Huber, Markus ; Eberhardt, Bernhard ; Weiskopf, Daniel: Fully Asynchronous SPH Simulation. In: Association, T. E. (Hrsg.) ; Association, T. E. (Hrsg.): Eurographics/ACM SIGGRAPH Symposium on Computer Animation, Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2017
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Rodrigues, Nils ; Netzel, Rudolf ; Ullah, Kazi Riaz ; Burch, Michael ; Schultz, Alexander ; Burger, Bruno ; Weiskopf, Daniel: Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants. In: Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI), Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI), 2017, S. 37–44
Abstract
Visualizing time series data with a spatial context is a problem that appears more and more often, since small and lightweight GPS devices allow us to enrich the time series data with position information. One example is the visualization of the energy output of power plants. We present a web-based application that aims to provide information about the energy production of a specified region, along with location information about the power plants. The application is intended to be used as a solid data basis for political discussions, nudging, and story telling about the German energy transition to renewables, called "Energiewende". It was therefore designed to be intuitive, easy to use, and provide information for a broad spectrum of users that do not need any domain-specific knowledge. Users are able to select different categories of power plants and look up their positions on an overview map. Glyphs indicate their exact positions and a selection mechanism allows users to compare the power output on different time scales using stacked area charts or ThemeRivers. As an evaluation of the application, we have collected web access statistics and conducted an online survey with respect to the intuitiveness, usability, and informativeness.BibTeX
Rodrigues, Nils ; Weiskopf, Daniel: Nonlinear Dot Plots. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 2018 (2017)
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Rodrigues, Nils ; Burch, Michael ; Di Silvestro, Lorenzo ; Weiskopf, Daniel: A Visual Analytics Approach for Word Relevances in Multiple Texts. In: Proceedings of the International Conference on Information Visualisation (IV), Proceedings of the International Conference on Information Visualisation (IV) : IEEE, 2017, S. 1–7
Abstract
We investigate the problem of analyzing word frequencies in multiple text sources with the aim to give an overview of word-based similarities in several texts as a starting point for further analysis. To reach this goal, we designed a visual analytics approach composed of typical stages and processes, combining algorithmic analysis, visualization techniques, the human users with their perceptual abilities, as well as interaction methods for both the data analysis and the visualization component. By our algorithmic analysis, we first generate a multivariate dataset where words build the cases and the individual text sources the attributes. Real-valued relevances express the significances of each word in each of the text sources. From the visualization perspective, we describe how this multivariate dataset can be visualized to generate, confirm, rebuild, refine, or reject hypotheses with the goal to derive meaning, knowledge, and insights from several text sources. We discuss benefits and drawbacks of the visualization approaches when analyzing word relevances in multiple texts.BibTeX
Romanowski, Andrzej ; Mayer, Sven ; Lischke, Lars ; Grudzien, Krzysztof ; Jaworski, Tomasz ; Perenc, Izabela ; Kucharski, Przemysław ; Obaid, Mohammad ; u. a.: Towards Supporting Remote Cheering during Running Races with Drone Technology. In: Press, A. (Hrsg.) ; Press, A. (Hrsg.): Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17), Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17) : ACM, 2017
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Sacha, Dominik ; Zhang, Leishi ; Sedlmair, Michael ; Lee, John A. ; Peltonen, Jaakko ; Weiskopf, Daniel ; North, Stephen C. ; Keim, Daniel A.: Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1, S. 241–250
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Sacha, Dominik ; Sedlmair, Michael ; Zhang, Leishi ; Lee, John A. ; Peltonen, Jaakko ; Weiskopf, Daniel ; North, Stephen C. ; Keim, Daniel A.: What You See Is What You Can Change: Human-Centered Machine Learning by Interactive Visualization. In: Neurocomputing, Neurocomputing. Bd. 268, Elsevier (2017), S. 164–175
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Schatz, Karsten ; Krone, Michael ; Müller, Christoph ; Schneider, Jens ; Reina, Guido ; Ertl, Thomas: Visualization of Halo Topologies in Dark Matter Simulations. In: Proceedings of TopoInVis, Proceedings of TopoInVis, 2017. — Rezensiertes Abstract
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Schulz, Christoph ; Nocaj, Arlind ; Goertler, Jochen ; Deussen, Oliver ; Brandes, Ulrik ; Weiskopf, Daniel: Probabilistic Graph Layout for Uncertain Network Visualization. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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Schulz, Christoph ; Burch, Michael ; Beck, Fabian ; Weiskopf, Daniel: Visual Data Cleansing of Low-Level Eye Tracking Data. In: Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.) ; Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.): Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015, Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015 : Springer International Publishing, 2017
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Schulz, Christoph ; Rodrigues, Nils ; Damarla, Krishna ; Henicke, Andreas ; Weiskopf, Daniel: Visual Exploration of Mainframe Workloads. In: Proceedings of the SIGGRAPH Asia Symposium on Visualization, Proceedings of the SIGGRAPH Asia Symposium on Visualization : ACM, 2017, S. 4:1-4:7
Abstract
We present a visual analytics approach to support the workload management process for z/OS mainframes at IBM. This process typically requires the analysis of records consisting of 100 to 150 performance-related metrics, sampled over time. We aim at replacing the previous spreadsheet-based workflow with an easier, faster, and more scalable one regarding measurement periods and collected performance metrics. To achieve this goal, we collaborate with a developer embedded at IBM in a formative process. Based on that experience, we discuss the application background and formulate requirements to support decision making based on performance data for large-scale systems. Our visual approach helps analysts find outliers, patterns, and relations between performance metrics by data exploration through various visualizations. We demonstrate the usefulness and applicability of line plots, scatter plots, scatter plot matrices, parallel coordinates, and correlation matrices for workload management. Finally, we evaluate our approach in a qualitative user study with IBM domain experts.BibTeX
Schwind, Valentin ; Knierim, Pascal ; Tasci, Cagri ; Franczak, Patrick ; Haas, Nico ; Henze, Niels: „These are not my hands!“: Effect of Gender on the Perception of Avatar Hands in Virtual Reality. In: ACM (Hrsg.) Proceedings of the 2017 Conference on Human Factors in Computing Systems (CHI’17), Proceedings of the 2017 Conference on Human Factors in Computing Systems (CHI’17)., ACM Press (2017)
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Srulijes, Karin ; Schulz, Christoph ; Mack, David J. ; Jarosch, Rafael ; Klenk, Jochen ; Schwickert, Lars ; Schwenk, Michael ; Maetzler, Walter ; u. a.: Visualization of Eye-Head Coordination While Walking in Healthy Subjects and Patients with Neurodegenerative Diseases. In: Poster (reviewed) presented on Symposium of the International Society of Posture and Gait Research (ISPGR), Poster (reviewed) presented on Symposium of the International Society of Posture and Gait Research (ISPGR). (2017)
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Stoll, Michael ; Volz, Sebastian ; Maurer, Daniel ; Bruhn, Andrés: A Time-Efficient Optimisation Framework for Parameters of Opitical Flow Methods. In: Jenssen, R. ; Sharma, P. ; Bianchi, F. M. (Hrsg.) ; Jenssen, R. ; Sharma, P. ; Bianchi, F. M. (Hrsg.): Proceedings of Scandinavian Conference on Image Analysis (SCIA). Lecture Notes in Computer Science, Proceedings of Scandinavian Conference on Image Analysis (SCIA). Lecture Notes in Computer Science. Bd. 10269 : Springer, 2017
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Stoll, Michael ; Maurer, Daniel ; Volz, Sebastian ; Bruhn, Andrés: Illumination-aware Large Displacement Optical Flow. In: Pelillo, M. ; Hancock, E. R. (Hrsg.) ; Pelillo, M. ; Hancock, E. R. (Hrsg.): Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science, Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science. Bd. 10746 : Springer International Publishing, 2017 — ISBN 978-3-319-78199-0, S. 139–154
Abstract
The integration of feature matches for handling large displacements is one of the key concepts of recent variational optical flow methods. In this context, many existing approaches rely on confidence measures to identify locations where a poor initial match can potentially be improved by adaptively integrating flow proposals. One very intuitive confidence measure to identify such locations is the matching cost of the data term. Problems arise, however, in the presence of illumination changes, since brightness constancy does not hold and invariant constancy assumptions typically discard too much information for an identification of poor matches. In this paper, we suggest a pipeline approach that addresses the aforementioned problem in two ways. First, we propose a novel confidence measure based on the illumination-compensated brightness constancy assumption. By estimating illumination changes from a pre-computed flow this measure allows us to reliably identify poor matches even in the presence of varying illumination. Secondly, in contrast to many existing pipeline approaches, we propose to integrate only feature matches that have been obtained from dense variational methods. This in turn not only provides robust matches due to the inherent regularization, it also demonstrates that in many cases sparse descriptor matches are not needed for large displacement optical flow. Experiments on the Sintel benchmark and on common large displacement sequences demonstrate the benefits of our strategy. They show a clear improvement over the baseline method and a comparable performance as similar methods from the literature based on sparse feature matches.BibTeX
Stoll, Michael ; Maurer, Daniel ; Bruhn, Andrés: Variational Large Displacement Optical Flow Without Feature Matches. In: Pelillo, M. ; Hancock, E. R. (Hrsg.) ; Pelillo, M. ; Hancock, E. R. (Hrsg.): Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science, Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science. Bd. 10746 : Springer International Publishing, 2017 — ISBN 978-3-319-78199-0, S. 79–92
Abstract
The optical flow within a scene can be an arbitrarily complex composition of motion patterns that typically differ regarding their scale. Hence, using a single algorithm with a single set of parameters is often not sufficient to capture the variety of these motion patterns. In particular, the estimation of large displacements of small objects poses a problem. In order to cope with this problem, many recent methods estimate the optical flow by a fusion of flow candidates obtained either from different algorithms or from the same algorithm using different parameters. This, however, typically results in a pipeline of methods for estimating and fusing the candidate flows, each requiring an individual model with a dedicated solution strategy. In this paper, we investigate what results can be achieved with a pure variational approach based on a standard coarse-to-fine optimization. To this end, we propose a novel variational method for the simultaneous estimation and fusion of flow candidates. By jointly using multiple smoothness weights within a single energy functional, we are able to capture different motion patterns and hence to estimate large displacements even without additional feature matches. In the same functional, an intrinsic model-based fusion allows to integrate all these candidates into a single flow field, combining sufficiently smooth overall motion with locally large displacements. Experiments on large displacement sequences and the Sintel benchmark demonstrate the feasibility of our approach and show improved results compared to a single-smoothness baseline method.BibTeX
Tkachev, Gleb ; Frey, Steffen ; Müller, Christoph ; Bruder, Valentin ; Ertl, Thomas: Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition. In: Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) : Eurographics Association, 2017, S. 11–20
Abstract
We present our data-driven, neural network-based approach to predicting the performance of a distributed GPU volume renderer for supporting cluster equipment acquisition. On the basis of timing measurements from a single cluster as well as from individual GPUs, we are able to predict the performance gain of upgrading an existing cluster with additional or faster GPUs, or even purchasing of a new cluster with a comparable network configuration. To achieve this, we employ neural networks to capture complex performance characteristics. However, merely relying on them for the prediction would require the collection of training data on multiple clusters with different hardware, which is impractical in most cases. Therefore, we propose a two-level approach to prediction, distinguishing between node and cluster level. On the node level, we generate performance histograms on individual nodes to capture local rendering performance. These performance histograms are then used to emulate the performance of different rendering hardware for cluster-level measurement runs. Crucially, this variety allows the neural network to capture the compositing performance of a cluster separately from the rendering performance on individual nodes. Therefore, we just need a performance histogram of the GPU of interest to generate a prediction. We demonstrate the utility of our approach using different cluster configurations as well as a range of image and volume resolutions.BibTeX
van Garderen, M. ; Pampel, B. ; Nocaj, A. ; Brandes, U.: Minimum-Displacement Overlap Removal for Geo-referenced Data Visualization. In: Computer Graphics Forum, Computer Graphics Forum. Bd. 36 (2017), Nr. 3, S. 423–433
Abstract
Given a set of rectangles embedded in the plane, we consider the problem of adjusting the layout to remove all overlap while preserving the orthogonal order of the rectangles. The objective is to minimize the displacement of the rectangles. We call this problem Minimum-Displacement Overlap Removal (mdor). Our interest in this problem is motivated by the application of displaying metadata of archaeological sites. Because most existing overlap removal algorithms are not designed to minimize displacement while preserving orthogonal order, we present and compare several approaches which are tailored to our particular usecase. We introduce a new overlap removal heuristic which we call reArrange. Although conceptually simple, it is very effective in removing the overlap while keeping the displacement small. Furthermore, we propose an additional procedure to repair the orthogonal order after every iteration, with which we extend both our new heuristic and PRISM, a widely used overlap removal algorithm. We compare the performance of both approaches with and without this order repair method. The experimental results indicate that reArrange is very effective for heterogeneous input data where the overlap is concentrated in few dense regions.BibTeX
Voit, Alexandra ; Weber, Dominik ; Stowell, Elizabeth ; Henze, Niels: Caloo: An Ambient Pervasive Smart Calendar to Support Aging in Place. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. Stuttgart, Germany : ACM, 2017 — ISBN 978-1-4503-5378-6, S. 25--30
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Voit, Alexandra ; Schneegass, Stefan: FabricID: Using Smart Textiles to Access Wearable Devices. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. Stuttgart, Germany : ACM, 2017 — ISBN 978-1-4503-5378-6, S. 379--385
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Voit, Alexandra ; Greis, Miriam ; Weber, Dominik ; Gönner, Katharina ; Kutger, Isabella ; Mantz, Tamara ; Schmidt, Simone ; van der Vekens, Lucas ; u. a.: My Painting Shows My Stats: Towards a Personal Colorful Activity Display. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. Stuttgart, Germany : ACM, 2017 — ISBN 978-1-4503-5378-6, S. 415--420
BibTeX
Weber, Dominik: Towards Smart Notification Management in Multi-Device Environments. In: ACM (Hrsg.) ; ACM (Hrsg.): Towards Smart Notification Management in Multi-Device Environments, Towards Smart Notification Management in Multi-Device Environments. Bd. 2017 : ACM, 2017. — Rezensiertes Poster
BibTeX
Weber, Dominik ; Voit, Alexandra ; Exler, Anja ; Schröder, Svenja ; Böhmer, Matthias ; Okoshi, Tadashi: Intelligent Notification and Attention Management on Mobile Devices. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. Stuttgart, Germany : ACM, 2017 — ISBN 978-1-4503-5378-6, S. 561--565
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Woźniak, Paweł W. ; Lischke, Lars ; Mayer, Sven ; Preikschat, Andreas ; Schweizer, Markus ; Vu, Ba ; von Molo, Carlo ; Henze, Niels: Understanding Work in Public Transport Management Control Rooms. In: ACM (Hrsg.) ; ACM (Hrsg.): Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’17 Companion), Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’17 Companion) : ACM, 2017. — Rezensiertes Poster
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Zhou, Liang ; Weiskopf, Daniel: Indexed-Points Parallel Coordinates Visualization of Multivariate Correlations. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 24 (2017), Nr. 6, S. 1997–2010
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