Computational Video for Collaborative Applications

Abstract

The Computational Video for Collaborative Applications effort was devoted to the research of video compression/decompression virtual telepresence, and real-time processing of streaming data-types. Compression techniques were focused on overcoming the problem of delivering streaming content over unreliable packet-switching networks. Virtual telepresence work was in the development of video streaming with the end user having more control over how the video is presented. Real-time processing of streaming data types involves the fusing together of multiple video streams. A derivative of this work is the development of a new method for constructing virtual camera views from multiple live video streams by using dynamically reparameterized light fields (DRLFs). This technique has the advantage of providing visualizations of a remote scene's background and foreground objects. Extensive involvement at the Siggraph computer graphics conventions over the past several years has furthered the reach and applications of this important research.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA412979

Entities

People

  • David Gifford
  • Leonard Mcmillan

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Graphics
  • Computer Networks
  • Computer Programming
  • Computer Science
  • Computer Vision
  • Computers
  • Data Compression
  • Image Processing
  • Internet
  • Network Science
  • Operating Systems
  • Streaming Media
  • Three Dimensional
  • Two Dimensional
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Computer Vision.