Knowledge transfer in semi-automatic image interpretation

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

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

Knowledge transfer in semi-automatic image interpretation

Jun Zhou^*, Li Cheng, Terry Caelli, Walter F. Bischof

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings
Publisher	Springer Verlag
Pages	1028-1034
Number of pages	7
Edition	PART 3
ISBN (Print)	9783540731085
DOIs	https://doi.org/10.1007/978-3-540-73110-8_113
Publication status	Published - 2007
Event	12th International Conference on Human-Computer Interaction, HCI International 2007 - Beijing, China Duration: 22 Jul 2007 → 27 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	4552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Human-Computer Interaction, HCI International 2007
Country/Territory	China
City	Beijing
Period	22/07/07 → 27/07/07

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

Cite this

Zhou, J., Cheng, L., Caelli, T., & Bischof, W. F. (2007). Knowledge transfer in semi-automatic image interpretation. In Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings (PART 3 ed., pp. 1028-1034). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4552 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-540-73110-8_113

Zhou, Jun ; Cheng, Li ; Caelli, Terry et al. / Knowledge transfer in semi-automatic image interpretation. Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 3. ed. Springer Verlag, 2007. pp. 1028-1034 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{ada86205e96744cdb31c91af935a54c6,

title = "Knowledge transfer in semi-automatic image interpretation",

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.",

keywords = "Human influence, Image interpretation, Knowledge transfer, Performance evaluation, Road tracking",

author = "Jun Zhou and Li Cheng and Terry Caelli and Bischof, {Walter F.}",

year = "2007",

doi = "10.1007/978-3-540-73110-8_113",

language = "English",

isbn = "9783540731085",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 3",

pages = "1028--1034",

booktitle = "Human-Computer Interaction",

address = "Germany",

edition = "PART 3",

note = "12th International Conference on Human-Computer Interaction, HCI International 2007 ; Conference date: 22-07-2007 Through 27-07-2007",

}

Zhou, J, Cheng, L, Caelli, T & Bischof, WF 2007, Knowledge transfer in semi-automatic image interpretation. in Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 4552 LNCS, Springer Verlag, pp. 1028-1034, 12th International Conference on Human-Computer Interaction, HCI International 2007, Beijing, China, 22/07/07. https://doi.org/10.1007/978-3-540-73110-8_113

Knowledge transfer in semi-automatic image interpretation. / Zhou, Jun; Cheng, Li; Caelli, Terry et al.
Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 3. ed. Springer Verlag, 2007. p. 1028-1034 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4552 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Knowledge transfer in semi-automatic image interpretation

AU - Zhou, Jun

AU - Cheng, Li

AU - Caelli, Terry

AU - Bischof, Walter F.

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Human influence

KW - Image interpretation

KW - Knowledge transfer

KW - Performance evaluation

KW - Road tracking

UR - http://www.scopus.com/inward/record.url?scp=38149021505&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-73110-8_113

DO - 10.1007/978-3-540-73110-8_113

M3 - Conference contribution

SN - 9783540731085

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1028

EP - 1034

BT - Human-Computer Interaction

PB - Springer Verlag

T2 - 12th International Conference on Human-Computer Interaction, HCI International 2007

Y2 - 22 July 2007 through 27 July 2007

ER -

Zhou J, Cheng L, Caelli T, Bischof WF. Knowledge transfer in semi-automatic image interpretation. In Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 3 ed. Springer Verlag. 2007. p. 1028-1034. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-540-73110-8_113

Knowledge transfer in semi-automatic image interpretation

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