Web-based High Performance Remote Visualization

Abstract

This work describes a web browser-based remote visualization capability for large datasets. We discuss recent enhancements including access to databases and remote resources, as well as the addition of two image compression algorithms and their effect on performance. Results indicate that the existing SeQuential Unified-channel Image Run Transmission (SQUIRT) image compression algorithm performs best for large bandwidth situations while the new binary set splitting with k-d trees (BISK) algorithm works better than the previous JPEG compression scheme. The results from a study on encryption effects on the data stream show that encryption does not add a significant amount of overhead.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADP023799

Entities

People

  • Andy Cedilnik
  • James E. Fowler
  • Jerry Clarke
  • Joel Martin
  • Paul Adams
  • Rhonda J. Vickery
  • Robert Moorhead
  • Travis Atkison
  • Yogi Dandass

Organizations

  • Mississippi State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coders
  • Coding
  • Compression
  • Computer Programming
  • Computers
  • Cryptography
  • Data Compression
  • Data Processing
  • Decoding
  • Department Of Defense
  • High Performance Computing
  • Image Compression
  • Image Processing
  • Information Processing
  • Object-Oriented Database Management Systems
  • United States
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Parallel and Distributed Computing.