Parallel Processing Considerations for Image Recognition Tasks
Identifieur interne : 000550 ( Main/Exploration ); précédent : 000549; suivant : 000551Parallel Processing Considerations for Image Recognition Tasks
Auteurs : Steven J. Simske [États-Unis]Source :
- Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2011.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Many image recognition tasks are well-suited to parallel processing. The most obvious example is that many imaging tasks require the analysis of multiple images. From this standpoint, then, parallel processing need be no more complicated than assigning individual images to individual processors. However, there are three less trivial categories of parallel processing that will be considered in this paper: parallel processing (1) by task; (2) by image region; and (3) by meta-algorithm. Parallel processing by task allows the assignment of multiple workflows-as diverse as optical character recognition [OCR], document classification and barcode reading-to parallel pipelines. This can substantially decrease time to completion for the document tasks. For this approach, each parallel pipeline is generally performing a different task. Parallel processing by image region allows a larger imaging task to be sub-divided into a set of parallel pipelines, each performing the same task but on a different data set. This type of image analysis is readily addressed by a map-reduce approach. Examples include document skew detection and multiple face detection and tracking. Finally, parallel processing by meta-algorithm allows different algorithms to be deployed on the same image simultaneously. This approach may result in improved accuracy.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000138
- to stream PascalFrancis, to step Curation: 000635
- to stream PascalFrancis, to step Checkpoint: 000104
- to stream Main, to step Merge: 000556
- to stream Main, to step Curation: 000550
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Parallel Processing Considerations for Image Recognition Tasks</title><author><name sortKey="Simske, Steven J" sort="Simske, Steven J" uniqKey="Simske S" first="Steven J." last="Simske">Steven J. Simske</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Hewlett-Packard Labs, 3404 E. Harmony Rd., MS 36</s1><s2>Fort Collins, CO, 80528</s2><s3>USA</s3><sZ>1 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État du Mississippi</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">11-0250768</idno><date when="2011">2011</date><idno type="stanalyst">PASCAL 11-0250768 INIST</idno><idno type="RBID">Pascal:11-0250768</idno><idno type="wicri:Area/PascalFrancis/Corpus">000138</idno><idno type="wicri:Area/PascalFrancis/Curation">000635</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000104</idno><idno type="wicri:doubleKey">0277-786X:2011:Simske S:parallel:processing:considerations</idno><idno type="wicri:Area/Main/Merge">000556</idno><idno type="wicri:Area/Main/Curation">000550</idno><idno type="wicri:Area/Main/Exploration">000550</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Parallel Processing Considerations for Image Recognition Tasks</title><author><name sortKey="Simske, Steven J" sort="Simske, Steven J" uniqKey="Simske S" first="Steven J." last="Simske">Steven J. Simske</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Hewlett-Packard Labs, 3404 E. Harmony Rd., MS 36</s1><s2>Fort Collins, CO, 80528</s2><s3>USA</s3><sZ>1 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État du Mississippi</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title><title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title><idno type="ISSN">0277-786X</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title><title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title><idno type="ISSN">0277-786X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Asymmetry</term><term>Bar codes</term><term>Face recognition</term><term>Image analysis</term><term>Image recognition</term><term>Imagery</term><term>Imaging</term><term>Multiple image</term><term>Optical character recognition</term><term>Parallel processing</term><term>Target tracking</term><term>Workflow</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance image</term><term>Analyse image</term><term>Imagerie</term><term>Algorithme</term><term>Traitement parallèle</term><term>Formation image</term><term>Image multiple</term><term>Workflow</term><term>Reconnaissance optique caractère</term><term>Code barre</term><term>Asymétrie</term><term>Reconnaissance visage</term><term>Poursuite cible</term><term>0130C</term><term>0705P</term><term>4230</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Many image recognition tasks are well-suited to parallel processing. The most obvious example is that many imaging tasks require the analysis of multiple images. From this standpoint, then, parallel processing need be no more complicated than assigning individual images to individual processors. However, there are three less trivial categories of parallel processing that will be considered in this paper: parallel processing (1) by task; (2) by image region; and (3) by meta-algorithm. Parallel processing by task allows the assignment of multiple workflows-as diverse as optical character recognition [OCR], document classification and barcode reading-to parallel pipelines. This can substantially decrease time to completion for the document tasks. For this approach, each parallel pipeline is generally performing a different task. Parallel processing by image region allows a larger imaging task to be sub-divided into a set of parallel pipelines, each performing the same task but on a different data set. This type of image analysis is readily addressed by a map-reduce approach. Examples include document skew detection and multiple face detection and tracking. Finally, parallel processing by meta-algorithm allows different algorithms to be deployed on the same image simultaneously. This approach may result in improved accuracy.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>État du Mississippi</li></region></list><tree><country name="États-Unis"><region name="État du Mississippi"><name sortKey="Simske, Steven J" sort="Simske, Steven J" uniqKey="Simske S" first="Steven J." last="Simske">Steven J. Simske</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000550 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000550 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= Pascal:11-0250768
|texte= Parallel Processing Considerations for Image Recognition Tasks
}}
| This area was generated with Dilib version V0.6.32. |  |