Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Application-Driven Compression for Visualizing Large-Scale Time-Varying Data

Published: 01 January 2010 Publication History

Abstract

The authors present an application-driven approach to compressing large-scale time-varying volume data. Their approach identifies a reference feature to partition the data into space-time blocks, which are compressed with various precisions depending on their association to the feature. Runtime decompression is performed with bit-wise texture packing and deferred filtering. This method achieves high compression rates and interactive rendering while preserving fine details surrounding regions of interest. Such an application-driven approach could help computational scientists cope with the large-data problem.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications  Volume 30, Issue 1
January 2010
93 pages

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 January 2010

Author Tags

  1. bit-wise texture packing
  2. computer graphics
  3. deferred filtering
  4. graphics and multimedia
  5. importance-based compression
  6. large-data visualization
  7. time-varying data visualization

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Context-aware image compression optimization for visual analytics offloadingProceedings of the 13th ACM Multimedia Systems Conference10.1145/3524273.3528178(27-38)Online publication date: 14-Jun-2022
  • (2020)Time-varying volume visualization: a surveyJournal of Visualization10.1007/s12650-020-00654-x23:5(745-761)Online publication date: 19-Jun-2020
  • (2017)Graphs in Scientific VisualizationComputer Graphics Forum10.1111/cgf.1280036:1(263-287)Online publication date: 1-Jan-2017
  • (2016)GraxelsProceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine10.5555/3061507.3061535(183-192)Online publication date: 7-Sep-2016
  • (2015)Data Exploration at the ExascaleSupercomputing Frontiers and Innovations: an International Journal10.5555/3026759.30267602:3(5-13)Online publication date: 1-Jul-2015
  • (2015)Multiway K-Clustered Tensor ApproximationACM Transactions on Graphics10.1145/275375634:5(1-15)Online publication date: 3-Nov-2015
  • (2015)Scalable Parallel Distance Field Construction for Large-Scale ApplicationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2015.241757221:10(1187-1200)Online publication date: 1-Oct-2015
  • (2015)A near lossless compression domain volume rendering algorithm for floating-point time-varying volume dataJournal of Visualization10.1007/s12650-014-0268-418:2(147-157)Online publication date: 1-May-2015
  • (2015)Data Reduction Analysis for Climate Data SetsInternational Journal of Parallel Programming10.1007/s10766-013-0287-043:3(508-527)Online publication date: 1-Jun-2015
  • (2014)State-of-the-Art in Compressed GPU-Based Direct Volume RenderingComputer Graphics Forum10.1111/cgf.1228033:6(77-100)Online publication date: 1-Sep-2014

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media