Now showing items 161-180 of 267

    • Exploring How Visualization Design and Situatedness Evoke Compassion in the Wild 

      Morais, Luiz; Andrade, Nazareno; Sousa, Dandara (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      This work explores how the design and situatedness of data representations affect people's compassion with a case study concerning harassment episodes in a public place. Results contribute to advancing the understanding ...
    • Mobile and Multimodal? A Comparative Evaluation of Interactive Workplaces for Visual Data Exploration 

      León, Gabriela Molina; Lischka, Michael; Luo, Wei; Breiter, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Mobile devices are increasingly being used in the workplace. The combination of touch, pen, and speech interaction with mobile devices is considered particularly promising for a more natural experience. However, we do not ...
    • Hybrid Touch/Tangible Spatial Selection in Augmented Reality 

      Sereno, Mickael; Gosset, Stéphane; Besançon, Lonni; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We study tangible touch tablets combined with Augmented Reality Head-Mounted Displays (AR-HMDs) to perform spatial 3D selections. We are primarily interested in the exploration of 3D unstructured datasets such as cloud ...
    • Neural Flow Map Reconstruction 

      Sahoo, Saroj; Lu, Yuzhe; Berger, Matthew (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      In this paper we present a reconstruction technique for the reduction of unsteady flow data based on neural representations of time-varying vector fields. Our approach is motivated by the large amount of data typically ...
    • SimilarityNet: A Deep Neural Network for Similarity Analysis Within Spatio-temporal Ensembles 

      Huesmann, Karim; Linsen, Lars (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Latent feature spaces of deep neural networks are frequently used to effectively capture semantic characteristics of a given dataset. In the context of spatio-temporal ensemble data, the latent space represents a similarity ...
    • LOOPS: LOcally Optimized Polygon Simplification 

      Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Displaying polygonal vector data is essential in various application scenarios such as geometry visualization, vector graphics rendering, CAD drawing and in particular geographic, or cartographic visualization. Dealing ...
    • Branch Decomposition-Independent Edit Distances for Merge Trees 

      Wetzels, Florian; Leitte, Heike; Garth, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Edit distances between merge trees of scalar fields have many applications in scientific visualization, such as ensemble analysis, feature tracking or symmetry detection. In this paper, we propose branch mappings, a novel ...
    • Level of Detail Exploration of Electronic Transition Ensembles using Hierarchical Clustering 

      Sidwall Thygesen, Signe; Masood, Talha Bin; Linares, Mathieu; Natarajan, Vijay; Hotz, Ingrid (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a pipeline for the interactive visual analysis and exploration of molecular electronic transition ensembles. Each ensemble member is specified by a molecular configuration, the charge transfer between two molecular ...
    • A Flip-book of Knot Diagrams for Visualizing Surfaces in 4-Space 

      Liu, Huan; Zhang, Hui (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Just as 2D shadows of 3D curves lose structure where lines cross, 3D graphics projections of smooth 4D topological surfaces are interrupted where one surface intersects itself. They twist, turn, and fold back on themselves, ...
    • Streaming Approach to In Situ Selection of Key Time Steps for Time-Varying Volume Data 

      Wu, Mengxi; Chiang, Yi-Jen; Musco, Christopher (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Key time steps selection, i.e., selecting a subset of most representative time steps, is essential for effective and efficient scientific visualization of large time-varying volume data. In particular, as computer simulations ...
    • An Interactive Approach for Identifying Structure Definitions 

      Mikula, Natalia; Dörffel, Tom; Baum, Daniel; Hege, Hans-Christian (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Our ability to grasp and understand complex phenomena is essentially based on recognizing structures and relating these to each other. For example, any meteorological description of a weather condition and explanation of ...
    • CorpusVis: Visual Analysis of Digital Sheet Music Collections 

      Miller, Matthias; Rauscher, Julius; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information. However, applying sophisticated algorithmic ...
    • LMFingerprints: Visual Explanations of Language Model Embedding Spaces through Layerwise Contextualization Scores 

      Sevastjanova, Rita; Kalouli, Aikaterini-Lida; Beck, Christin; Hauptmann, Hanna; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Language models, such as BERT, construct multiple, contextualized embeddings for each word occurrence in a corpus. Understanding how the contextualization propagates through the model's layers is crucial for deciding which ...
    • Exploring Multivariate Event Sequences with an Interactive Similarity Builder 

      Xu, Shaobin; Sun, Minghui; Zhang, Zhengtai; Xue, Hao (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Similarity-based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging because ...
    • Optimizing Grid Layouts for Level-of-Detail Exploration of Large Data Collections 

      Frey, Steffen (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      This paper introduces an optimization approach for generating grid layouts from large data collections such that they are amenable to level-of-detail presentation and exploration. Classic (flat) grid layouts visually do ...
    • Six Methods for Transforming Layered Hypergraphs to Apply Layered Graph Layout Algorithms 

      Bartolomeo, Sara Di; Pister, Alexis; Buono, Paolo; Plaisant, Catherine; Dunne, Cody; Fekete, Jean-Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Hypergraphs are a generalization of graphs in which edges (hyperedges) can connect more than two vertices-as opposed to ordinary graphs where edges involve only two vertices. Hypergraphs are a fairly common data structure ...
    • Where did my Lines go? Visualizing Missing Data in Parallel Coordinates 

      Bäuerle, Alex; Onzenoodt, Christian van; Kinderen, Simon der; Westberg, Jimmy Johansson; Jönsson, Daniel; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We evaluate visualization concepts to represent missing values in parallel coordinates. We focus on the trade-off between the ability to perceive missing values and the concept's impact on common tasks. For this purpose, ...
    • Urban Rhapsody: Large-scale Exploration of Urban Soundscapes 

      Rulff, João; Miranda, Fabio; Hosseini, Maryam; Lage, Marcos; Cartwright, Mark; Dove, Graham; Bello, Juan; Silva, Claudio T. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-cost sensors can be deployed to monitor ...
    • AirLens: Multi-Level Visual Exploration of Air Quality Evolution in Urban Agglomerations 

      Qu, Dezhan; Lv, Cheng; Lin, Yiming; Zhang, Huijie; Wang, Rong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The precise prevention and control of air pollution is a great challenge faced by environmental experts in recent years. Understanding the air quality evolution in the urban agglomeration is important for coordinated control ...
    • LineageD: An Interactive Visual System for Plant Cell Lineage Assignments based on Correctable Machine Learning 

      Hong, Jiayi; Trubuil, Alain; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We describe LineageD-a hybrid web-based system to predict, visualize, and interactively adjust plant embryo cell lineages. Currently, plant biologists explore the development of an embryo and its hierarchical cell lineage ...