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Parallel implementations of block-based motion vector estimation for video compression on four parallel processing systems

Parallel algorithms, based on a distributed memory machine model, for an exhaustive search technique for motion vector estimation in video compression are being designed and evaluated. Results from the execution on a 16,384 processor MasPar MP-1 (an SIMD machine), a 140 node Intel paragon XP/S and a... Full description

Journal Title: International journal of parallel programming 1999, Vol.27 (3), p.195-225
Main Author: MIN TAN
Other Authors: SIEGEL, J. M , SIEGEL, H. J
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: New York, NY: Plenum Press
ID: ISSN: 0885-7458
Link: http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1933986
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recordid: cdi_pascalfrancis_primary_1933986
title: Parallel implementations of block-based motion vector estimation for video compression on four parallel processing systems
format: Article
creator:
  • MIN TAN
  • SIEGEL, J. M
  • SIEGEL, H. J
subjects:
  • Applied sciences
  • Artificial intelligence
  • Computer science
  • control theory
  • systems
  • Data compression
  • Exact sciences and technology
  • Innovations
  • Language processing and microprogramming
  • Parallel programming (Computer science)
  • Pattern recognition. Digital image processing. Computational geometry
  • Research
  • Software
  • Studies
  • Usage
  • Video compression
  • Video equipment industry
ispartof: International journal of parallel programming, 1999, Vol.27 (3), p.195-225
description: Parallel algorithms, based on a distributed memory machine model, for an exhaustive search technique for motion vector estimation in video compression are being designed and evaluated. Results from the execution on a 16,384 processor MasPar MP-1 (an SIMD machine), a 140 node Intel paragon XP/S and a 16 node IBM SP2 (two MIMD machines), and the 16 processor PASM prototype (a partionable SIMD/MIMD mixed-mode machine) are presented. The trade-offs of using different modes of parallelism (SIMD, SPMD, and subimage methods) are examined. The analytical and experimental results shown will help practitioners to predict and contrast the performance of different approaches to parallel implementation of this important video compression technique. The results presented are also applicable to a large class of image and video processing tasks.
language: eng
source:
identifier: ISSN: 0885-7458
fulltext: no_fulltext
issn:
  • 0885-7458
  • 1573-7640
url: Link


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descriptionParallel algorithms, based on a distributed memory machine model, for an exhaustive search technique for motion vector estimation in video compression are being designed and evaluated. Results from the execution on a 16,384 processor MasPar MP-1 (an SIMD machine), a 140 node Intel paragon XP/S and a 16 node IBM SP2 (two MIMD machines), and the 16 processor PASM prototype (a partionable SIMD/MIMD mixed-mode machine) are presented. The trade-offs of using different modes of parallelism (SIMD, SPMD, and subimage methods) are examined. The analytical and experimental results shown will help practitioners to predict and contrast the performance of different approaches to parallel implementation of this important video compression technique. The results presented are also applicable to a large class of image and video processing tasks.
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subjectApplied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Data compression ; Exact sciences and technology ; Innovations ; Language processing and microprogramming ; Parallel programming (Computer science) ; Pattern recognition. Digital image processing. Computational geometry ; Research ; Software ; Studies ; Usage ; Video compression ; Video equipment industry
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abstractParallel algorithms, based on a distributed memory machine model, for an exhaustive search technique for motion vector estimation in video compression are being designed and evaluated. Results from the execution on a 16,384 processor MasPar MP-1 (an SIMD machine), a 140 node Intel paragon XP/S and a 16 node IBM SP2 (two MIMD machines), and the 16 processor PASM prototype (a partionable SIMD/MIMD mixed-mode machine) are presented. The trade-offs of using different modes of parallelism (SIMD, SPMD, and subimage methods) are examined. The analytical and experimental results shown will help practitioners to predict and contrast the performance of different approaches to parallel implementation of this important video compression technique. The results presented are also applicable to a large class of image and video processing tasks.
copNew York, NY
pubPlenum Press
doi10.1023/A:1018785512609