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. Attached Files Name Description MIMEType Size Downloads zhang-imageretrieval-2009.pdf Published version application/pdf 363.33KB 271 Title Image retrieval based on bag of images Author(s) 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 Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30039521 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to conference webpage Go to link with your DU access privileges   Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Wed, 26 Oct 2011, 12:46:59 EST Mon, 28 Nov 2011, 09:58:44 EST Mon, 28 Nov 2011, 10:01:34 EST Fri, 16 Mar 2012, 19:07:28 EST Tue, 19 Jun 2012, 12:34:29 EST Wed, 16 Jul 2014, 09:03:27 EST Tue, 06 Sep 2016, 17:36:50 EST Sat, 17 Jun 2017, 03:08:30 EST Tue, 05 Dec 2017, 10:53:43 EST Fri, 07 Sep 2018, 15:33:25 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 450 Abstract Views, 271 File Downloads  -  Detailed Statistics Created: Wed, 26 Oct 2011, 12:46:59 EST