Now showing items 1-20 of 5220

    • GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web 

      Dyken, Landon; Poudel, Pravin; Usher, Will; Petruzza, Steve; Chen, Jake Y.; Kumar, Sidharth (The Eurographics Association, 2022)
      Large scale graphs are used to encode data from a variety of application domains such as social networks, the web, biological networks, road maps, and finance. Computing enriching layouts and interactive rendering play an ...
    • Design and Evaluation of a GPU Streaming Framework for Visualizing Time-Varying AMR Data 

      Zellmann, Stefan; Wald, Ingo; Sahistan, Alper; Hellmann, Matthias; Usher, Will (The Eurographics Association, 2022)
      We describe a systematic approach for rendering time-varying simulation data produced by exa-scale simulations, using GPU workstations. The data sets we focus on use adaptive mesh refinement (AMR) to overcome memory bandwidth ...
    • A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data 

      Wu, Qi; Doyle, Michael J.; Ma, Kwan-Liu (The Eurographics Association, 2022)
      Modern simulations and experiments can produce massive amounts of high-fidelity data that are challenging to transport and visualize interactively. We have designed a data streaming system to support interactive visualization ...
    • Automatic In Situ Camera Placement for Isosurfaces of Large-Scale Scientific Simulations 

      Marsaglia, Nicole; Mathai, Manish; Fields, Stefan; Childs, Hank (The Eurographics Association, 2022)
      High-performance computing trends are requiring in situ processing increasingly often. This work considers automating camera placement for in situ visualization, specifically of isosurfaces, which is needed when there is ...
    • Massively Parallel Large Scale Inundation Modelling 

      Rak, Arne; Guthe, Stefan; Mewis, Peter (The Eurographics Association, 2022)
      Over the last 20 years, flooding has been the most common natural disaster, accounting for 44.7% of all disasters, affecting about 1.65 billion people worldwide and causing roughly 105 thousand deaths†. In contrast to other ...
    • Iterative Discrete Element Solver for Efficient Snow Simulation 

      Goswami, Prashant; Nordin, Adrian; Nylén, Simon (The Eurographics Association, 2022)
      This paper presents a novel Discrete Element Method (DEM) on the GPU for efficient snow simulation. To this end, our approach employs an iterative scheme on particles that easily allows the snow density to vary vastly for ...
    • Profiling and Visualizing GPU Memory Access and Cache Behavior of Ray Tracers 

      Buelow, Max von; Riemann, Kai; Guthe, Stefan; Fellner, Dieter W. (The Eurographics Association, 2022)
      Graphical processing units (GPUs) have gained popularity in recent years due to their efficiency in running massively parallel applications. Recent developments have also adapted ray-tracing algorithms to the GPU, where ...
    • Rainbow: A Rendering-Aware Index for High-Quality Spatial Scatterplots with Result-Size Budgets 

      Bai, Qiushi; Alsudais, Sadeem; Li, Chen; Zhao, Shuang (The Eurographics Association, 2022)
      We study the problem of computing a spatial scatterplot on a large dataset for arbitrary zooming/panning queries. We introduce a general framework called ''Rainbow'' that generates a high-quality scatterplot for a given ...
    • PGV 2022: Frontmatter 

      Bujack, Roxana; Tierny, Julien; Sadlo, Filip (The Eurographics Association, 2022)
    • Real-Time Music-Driven Movie Design Framework 

      Hofmann, Sarah; Seeger, Maximilian; Rogge-Pott, Henning; Mammen, Sebastian von (The Eurographics Association, 2022)
      Cutting to music is a widely used stylistic device in film making. The usual process involves an editor manually adjusting the movie's sequences contingent upon beat or other musical features. But with today's movie ...
    • (Re-)Framing Virtual Reality 

      Sagot-Duvauroux, Rémi; Garnier, François; Ronfard, Rémi (The Eurographics Association, 2022)
      We address the problem of translating the rich vocabulary of cinematographic shots elaborated in classic films for use in virtual reality. Using a classic scene from Alfred Hitchcock's "North by Northwest", we describe a ...
    • Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures 

      Mohan, Aditya; Zhang, Jing; Cozot, Remi; Loscos, Celine (The Eurographics Association, 2022)
      Recently, there have been attempts to obtain high-dynamic range (HDR) images from single exposures and efforts to reconstruct multi-view HDR images using multiple input exposures. However, there have not been any attempts ...
    • Framework to Computationally Analyze Kathakali Videos 

      Bulani, Pratikkumar; S, Jayachandran; Sivaprasad, Sarath; Gandhi, Vineet (The Eurographics Association, 2022)
      Kathakali is one of the major forms of Classical Indian Dance. The dance form is distinguished by the elaborately colourful makeup, costumes and face masks. In this work, we present (a) a framework to analyze the facial ...
    • Evaluation of Deep Pose Detectors for Automatic Analysis of Film Style 

      Wu, Hui-Yin; Nguyen, Luan; Tabei, Yoldoz; Sassatelli, Lucile (The Eurographics Association, 2022)
      Identifying human characters and how they are portrayed on-screen is inherently linked to how we perceive and interpret the story and artistic value of visual media. Building computational models sensible towards story ...
    • The Prose Storyboard Language: A Tool for Annotating and Directing Movies 

      Ronfard, Rémi; Gandhi, Vineet; Boiron, Laurent; Murukutla, Vaishnavi Ameya (The Eurographics Association, 2022)
      The prose storyboard language is a formal language for describing movies shot by shot, where each shot is described with a unique sentence. The language uses a simple syntax and limited vocabulary borrowed from working ...
    • Using Advene to Bridge the Gap Between Users and Ontologies in Movie Annotation 

      Aubert, Olivier (The Eurographics Association, 2022)
      Feature movies and documentaries analysis has always relied on available access tools and possibilities: movie theaters required memorizing whole sequences, home video (VHS, DVD) brought new possibilities for analysis. ...
    • WICED 2022: Frontmatter 

      Ronfard, Rémi; Wu, Hui-Yin (The Eurographics Association, 2022)
    • Efficient acoustic perception for virtual AI agents 

      Chemistruck, Mike; Allen, Andrew; Snyder, John; Raghuvanshi, Nikunj (ACM, 2021)
      We model acoustic perception in AI agents efficiently within complex scenes with many sound events. The key idea is to employ perceptual parameters that capture how each sound event propagates through the scene to the ...
    • A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control 

      Xu, Pei; Karamouzas, Ioannis (ACM, 2021)
      We present a simple and intuitive approach for interactive control of physically simulated characters. Our work builds upon generative adversarial networks (GAN) and reinforcement learning, and introduces an imitation ...
    • Global Position Prediction for Interactive Motion Capture 

      Schreiner, Paul; Perepichka, Maksym; Lewis, Hayden; Darkner, Sune; Kry, Paul G.; Erleben, Kenny; Zordan, Victor B. (ACM, 2021)
      We present a method for reconstructing the global position of motion capture where position sensing is poor or unavailable. Capture systems, such as IMU suits, can provide excellent pose and orientation data of a capture ...