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Knowledge Transfer in Semi-automatic Image Interpretation

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Zhou, Jun; Cheng, Li; Caelli, Terry; Bischof, Walter F.

Description

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.

dc.contributor.authorZhou, Jun
dc.contributor.authorCheng, Li
dc.contributor.authorCaelli, Terry
dc.contributor.authorBischof, Walter F.
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-10T21:57:32Z
dc.date.createdJuly 22-27 2007
dc.identifier.isbn3540731083
dc.identifier.urihttp://hdl.handle.net/1885/39820
dc.description.abstractSemi-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.
dc.publisherSpringer
dc.relation.ispartofseriesInternational Conference on Human-Computer Interaction 2007
dc.sourceProceedings of Human-Computer Interaction International 2007
dc.subjectKeywords: 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
dc.titleKnowledge Transfer in Semi-automatic Image Interpretation
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2007
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu3357961xPUB184
local.type.statusPublished Version
local.contributor.affiliationZhou, Jun, University of Alberta
local.contributor.affiliationCheng , Li, College of Engineering and Computer Science, ANU
local.contributor.affiliationCaelli, Terry, College of Engineering and Computer Science, ANU
local.contributor.affiliationBischof, Walter F, University of Alberta
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1028
local.bibliographicCitation.lastpage1034
dc.date.updated2015-12-09T07:46:19Z
local.identifier.scopusID2-s2.0-38149021505
CollectionsANU Research Publications

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