DocumentCode :
2520765
Title :
Anet: a programming environment for parallel image analysis
Author :
Ducourthial, Bertrand ; Mérigot, Alain ; Sicard, Nicolas
Author_Institution :
Lab. Heudyasic, Univ. de Technol. de Compiegne, France
fYear :
2000
fDate :
2000
Firstpage :
280
Lastpage :
289
Abstract :
In this paper we present the programming environment Anet for image analysis, that aims to bridge the gap between programmability requirements and parallel efficiency. It is based on the graph based associative nets computing model, and allows irregular data manipulation. As it is intrinsically a parallel model, parallel execution can be quite naturally considered, and as the number of primitives is small, effective parallelization requires an initial limited effort and can be reused by a large set of programs
Keywords :
image processing; programming environments; Anet; graph based associative nets computing model; irregular data manipulation; parallel image analysis; programmability requirements; programming environment; Bridges; Face recognition; Image analysis; Image databases; Image processing; Intelligent vehicles; Libraries; Program processors; Programming environments; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architectures for Machine Perception, 2000. Proceedings. Fifth IEEE International Workshop on
Conference_Location :
Padova
Print_ISBN :
0-7695-0740-9
Type :
conf
DOI :
10.1109/CAMP.2000.875987
Filename :
875987
Link To Document :
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