Skip navigation
Skip navigation

Knowledge Transfer in Semi-automatic Image Interpretation

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.

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
URI: http://hdl.handle.net/1885/39820
Source: Proceedings of Human-Computer Interaction International 2007

Download

File Description SizeFormat Image
01_Zhou_Knowledge_Transfer_in_2007.pdf198.05 kBAdobe PDF    Request a copy
02_Zhou_Knowledge_Transfer_in_2007.pdf30.73 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator