PAWIAN - a parallel image recognition system

Authors:
Oliver Hempel;Ulrich Büker;Georg Hartmann
Affiliations:
-;-;-
Venue:
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Year:
2000

Citing 5
Cited 0

Artificial intelligence

Artificial intelligence
Data-driven processing of semantic nets

Parallel computation and computers for artificial intelligence
Parallel image processing

Parallel image processing
Associative Networks: The Representation and Use of Knowledge by Computers

Associative Networks: The Representation and Use of Knowledge by Computers
Parallelism in a Semantic Network for Image Understanding

Parallel Computer Architectures: Theory, Hardware, Software, Applications

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Abstract

The PAWIAN* system is a knowledge-based image recognition system that uses parallel programming techniques on several system layers to reduce the recognition time factor. The high robustness provided by knowledge-based recognition is supported by data- and model-driven parallelism. Special search techniques and heuristics provide a high performance and good time reduction.