Design and Analysis of Lossless and Lossy Data Compression Methods and Applications to Communication and Caching - Final Report.

Abstract

The work completed in the project dealt with the following areas of data compression and its applications: the design and analysis of sophisticated methods for prediction based on data compression techniques, with applications to prefetching, caching, and locality management. Fast, practical, and code-efficient implementations of arithmetic coding and other coding methods, for use in text and image compression. New methods for choosing motion vectors yielding substantially better rate-distortion tradeoffs for video compression in video-conferencing applications. Duke University recently filed a patent application for the work on prediction.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1997
Accession Number
ADA329667

Entities

People

  • Jeffrey S. Vitter

Organizations

  • Duke University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Arithmetic
  • Compression
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Data Compression
  • Geometry
  • Image Compression
  • Information Systems
  • Parallel Computing
  • Parallel Processing
  • Patent Applications
  • Probabilistic Models
  • Video
  • Video Teleconferencing

Fields of Study

  • Computer science

Readers

  • Image Processing and Computer Vision.
  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.