Learning query-dependent distance metrics for interactive image retrieval

Junwei Han; Stephen J. McKenna; Ruixuan Wang

doi:10.1007/978-3-642-04667-4_38

Learning query-dependent distance metrics for interactive image retrieval

Junwei Han
, Stephen J. McKenna
, Ruixuan Wang

University of Dundee

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

1 Scopus citations

Abstract

An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed up the retrieval process. An empirical comparison of online learning methods including ranking-SVM is reported using both simulated and real users.

Original language	English
Title of host publication	Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings
Pages	374-383
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-04667-4_38
State	Published - 2009
Externally published	Yes
Event	7th International Conference on Computer Vision Systems, ICVS 2009 - Liege, Belgium Duration: 13 Oct 2009 → 15 Oct 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5815 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computer Vision Systems, ICVS 2009
Country/Territory	Belgium
City	Liege
Period	13/10/09 → 15/10/09

Access to Document

10.1007/978-3-642-04667-4_38

Cite this

Han, J., McKenna, S. J., & Wang, R. (2009). Learning query-dependent distance metrics for interactive image retrieval. In Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings (pp. 374-383). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS). https://doi.org/10.1007/978-3-642-04667-4_38

@inproceedings{d9869a9c0e7d4965bef0afc338da0f94,

title = "Learning query-dependent distance metrics for interactive image retrieval",

abstract = "An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed up the retrieval process. An empirical comparison of online learning methods including ranking-SVM is reported using both simulated and real users.",

author = "Junwei Han and McKenna, \{Stephen J.\} and Ruixuan Wang",

year = "2009",

doi = "10.1007/978-3-642-04667-4\_38",

language = "英语",

isbn = "3642046665",

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

pages = "374--383",

booktitle = "Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings",

note = "7th International Conference on Computer Vision Systems, ICVS 2009 ; Conference date: 13-10-2009 Through 15-10-2009",

}

Han, J, McKenna, SJ & Wang, R 2009, Learning query-dependent distance metrics for interactive image retrieval. in Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5815 LNCS, pp. 374-383, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, 13/10/09. https://doi.org/10.1007/978-3-642-04667-4_38

Learning query-dependent distance metrics for interactive image retrieval. / Han, Junwei; McKenna, Stephen J.; Wang, Ruixuan.
Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. 2009. p. 374-383 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS).

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

TY - GEN

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AU - McKenna, Stephen J.

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AB - An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed up the retrieval process. An empirical comparison of online learning methods including ranking-SVM is reported using both simulated and real users.

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Han J, McKenna SJ, Wang R. Learning query-dependent distance metrics for interactive image retrieval. In Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. 2009. p. 374-383. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-04667-4_38

Learning query-dependent distance metrics for interactive image retrieval

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