Rui Hu
Dissimilarity measures for content-based image retrieval.
Hu, Rui; R�ger, Stefan; Song, Dawei; Liu, Haiming; Huang, Zi
Authors
Stefan R�ger
Dawei Song
Haiming Liu
Zi Huang
Abstract
Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and Trecvid2003, with 7 different feature spaces. Two search scenarios are considered: single image queries based on the Vector Space Model, and multi-image queries based on k-Nearest Neighbours search. A number of observations are drawn, which will lay a foundation for developing more effective image search technologies.
Citation
HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z. 2008. Dissimilarity measures for content-based image retrieval. In Proceedings of the 2008 IEEE international conference on multimedia and expo (ICME 2008), 23-26 June 2008, Hannover, Germany. New York: IEEE [online], article number 4607697, pages 1365-1368. Available from: https://doi.org/10.1109/ICME.2008.4607697
Conference Name | 2008 IEEE international conference on multimedia and expo (ICME 2008) |
---|---|
Conference Location | Hannover, Germany |
Start Date | Jun 23, 2008 |
End Date | Jun 26, 2008 |
Acceptance Date | Jun 23, 2008 |
Online Publication Date | Aug 26, 2008 |
Publication Date | Dec 31, 2008 |
Deposit Date | Jun 3, 2009 |
Publicly Available Date | Jun 3, 2009 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Article Number | 4607697 |
Pages | 1365-1368 |
Series Title | Proceedings of the IEEE international conference on multimedia and expo |
ISBN | 9781424425709 |
DOI | https://doi.org/10.1109/ICME.2008.4607697 |
Keywords | Dissimilarity measure; Feature space; Content based image retrieval |
Public URL | http://hdl.handle.net/10059/354 |
Files
HU 2008 Dissimilarity measures for content-based
(135 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Predicting emotional reaction in social networks.
(2017)
Conference Proceeding
Early fusion and query modification in their dual late fusion forms.
(2015)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search