Parallel parsing of MPEG video in heterogeneous distributed environment

Yunyoung Nam, Eenjun Hwang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

As the use of digital video is getting popular, there is an increasing demand for efficient retrieval of video. To do that, effective video indexing should be incorporated. One of the most fundamental steps in video indexing is decompose video stream into shots and scenes by parsing. Generally, it takes long time to parse video by traditional sequential computers due to the huge amount of computation. In order to solve this problem and speed up the process, we propose three different parallel scheduling algorithms for heterogeneous distributed multicomputer and compare their performance using extensive simulations. We report some of the results in terms of speedup and load balancing.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMario Marques Freire, Pascal Lorenz, Mike Myung-Ok Lee
PublisherSpringer Verlag
Pages264-274
Number of pages11
ISBN (Print)3540405429, 9783540405429
DOIs
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2720
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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