Knowledge Transfer in Semi-automatic Image Interpretation
Date
2007
Authors
Zhou, Jun
Cheng, Li
Caelli, Terry
Bischof, Walter F.
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Publisher
Springer
Abstract
Semi-automatic image interpretation systems utilize interactions between users and computers to adapt and update interpretation algorithms. We have studied the influence of human inputs on image interpretation by examining several knowledge transfer models. Experimental results show that the quality of the system performance depended not only on the knowledge transfer patterns but also on the user input, indicating how important it is to develop user-adapted image interpretation systems.
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Keywords
Keywords: Algorithms; Image acquisition; Pattern recognition; User interfaces; Human influence; Image interpretation; Knowledge transfer; Performance evaluation; Road tracking; Knowledge representation Human influence; Image interpretation; Knowledge transfer; Performance evaluation; Road tracking
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Source
Proceedings of Human-Computer Interaction International 2007
Type
Conference paper
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Restricted until
2037-12-31
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