• DocumentCode
    2407351
  • Title

    Managing the image generation of large datasets

  • Author

    Bolstad, Mark

  • Author_Institution
    US Army Res. Lab., Aberdeen Proving Ground, MD, USA
  • fYear
    2003
  • fDate
    9-13 June 2003
  • Firstpage
    358
  • Lastpage
    361
  • Abstract
    At the ARL MSRC, datasets resulting from scientific visualizations and conceptual animations continue to grow in size and complexity as our computing capabilities expand. While visualizing these datasets and building the animations are a challenge, so is the overall oversight of the image generation process and long-term management of the resulting voluminous data sets. We have developed a tool to handle the management of the image generation process. By automatically monitoring the rendering process, we can improve overall throughput and image quality. This tool automatically distributes the rendering load, and detects and resolves problems in the image generation process including missing frames, excessive noise, and other common rendering problems.
  • Keywords
    computer animation; data visualisation; image processing; rendering (computer graphics); ARL MSRC; conceptual animation; image generation process; image quality; large datasets; rendering process; scientific visualization; Animation; Computerized monitoring; Data visualization; Displays; Image generation; Image resolution; Image storage; Noise generators; Rendering (computer graphics); Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    User Group Conference, 2003. Proceedings
  • Print_ISBN
    0-7695-1953-9
  • Type

    conf

  • DOI
    10.1109/DODUGC.2003.1253417
  • Filename
    1253417