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
Link To Document :
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