The Open UniversitySkip to content
 

Dissimilarity measures for content-based image retrieval

Hu, Rui; Rüger, Stefan; Song, Dawei and Liu, Haiming (2008). Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference Multimedia and Expo, 23-26 Jun 2008, Hannover, Germany.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (95Kb)
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/ICME.2008.4607697
Google Scholar: Look up in Google Scholar

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.

Item Type: Conference Item
Copyright Holders: 2008 IEEE
Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Item ID: 23807
Depositing User: Colin Smith
Date Deposited: 15 Oct 2010 13:52
Last Modified: 23 Jun 2012 02:45
URI: http://oro.open.ac.uk/id/eprint/23807
Share this page:

Altmetrics

Scopus Citations

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk