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Image retrieval based on bag of images

Zhang, Jun and Ye, Lei 2009, Image retrieval based on bag of images, in ICIP 2009 : Proceedings of the 2009 IEEE International Conference on Image Processing, IEEE, Piscataway, N. J., pp. 1865-1868, doi: 10.1109/ICIP.2009.5413602.

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Title Image retrieval based on bag of images
Author(s) Zhang, JunORCID iD for Zhang, Jun orcid.org/0000-0002-2189-7801
Ye, Lei
Conference name IEEE International Conference on Image Processing (16th : 2009 : Cairo, Egypt)
Conference location Cairo, Egypt
Conference dates 7-10 Nov. 2009
Title of proceedings ICIP 2009 : Proceedings of the 2009 IEEE International Conference on Image Processing
Editor(s) [Unknown]
Publication date 2009
Conference series International Conference on Image Processing
Start page 1865
End page 1868
Total pages 4
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) content-based image retrieval
similarity measure
bag of images
information retrieval
Summary Conventional relevance feedback schemes may not be suitable to all practical applications of content-based image retrieval (CBIR), since most ordinary users would like to complete their search in a single interaction, especially on the web search. In this paper, we explore a new approach to improve the retrieval performance based on a new concept, bag of images, rather than relevance feedback. We consider that image collection comprises of image bags instead of independent individual images. Each image bag includes some relevant images with the same perceptual meaning. A theoretical case study demonstrates that image retrieval can benefit from the new concept. A number of experimental results show that the CBIR scheme based on bag of images can improve the retrieval performance dramatically.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 142445655X
9781424456550
ISSN 1522-4880
Language eng
DOI 10.1109/ICIP.2009.5413602
Field of Research 080704 Information Retrieval and Web Search
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30039521

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.