Knowledge Transfer in Semi-automatic Image Interpretation

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

doi:10.1007/978-3-540-73110-8_113

Jun Zhou¹,
Li Cheng²,
Terry Caelli^2,3 &
…
Walter F. Bischof¹

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4552))

Included in the following conference series:

International Conference on Human-Computer Interaction

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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Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with “Expert-in-the-Loop”

Learning Language Models from Images with ReGLL

Image Interpretation

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Authors and Affiliations

Department of Computing Science, University of Alberta, Edmonton, Alberta,T6G 2E8, Canada
Jun Zhou & Walter F. Bischof
Canberra Laboratory, National ICT Australia, Locked Bag 8001, Canberra ACT 2601, Australia
Li Cheng & Terry Caelli
School of Information Science and Engineering, Australian National University, Bldg.115, Canberra ACT 0200, Australia
Terry Caelli

Authors

Jun Zhou
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Li Cheng
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Terry Caelli
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Walter F. Bischof
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Julie A. Jacko

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Zhou, J., Cheng, L., Caelli, T., Bischof, W.F. (2007). Knowledge Transfer in Semi-automatic Image Interpretation. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_113

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DOI: https://doi.org/10.1007/978-3-540-73110-8_113
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73108-5
Online ISBN: 978-3-540-73110-8
eBook Packages: Computer ScienceComputer Science (R0)

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