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Giving order to image queries

Hare, J., Sinclair, P., Lewis, P. and Martinez, K. (2008) Giving order to image queries. In: Multimedia Content Access: Algorithms and Systems II, 30-31 January 2008, San Jose, California, USA. pp. 682005-1.

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Abstract

Users of image retrieval systems often find it frustrating that the image they are looking for is not ranked near the top of the results they are presented. This paper presents a computational approach for ranking keyworded images in order of relevance to a given keyword. Our approach uses machine learning to attempt to learn what visual features within an image are most related to the keywords, and then provide ranking based on similarity to a visual aggregate. To evaluate the technique, a Web 2.0 application has been developed to obtain a corpus of user-generated ranking information for a given image collection that can be used to evaluate the performance of the ranking algorithm.

Item Type:Conference or Workshop Item
Creator/Authors:
Jonathan Hare
Patrick Sinclair
Paul Lewis
Kirk Martinez
Editors:
Theo Gevers
Ramesh Jain
Simone Santini
Keywords:Image retrieval, ranking, visual features, web 2.0
Research Group:Current ECS Groups > Web and Internet Science
Old ECS Groups > Intelligence, Agents, Multimedia
Old ECS Groups > Learning Societies Lab
ISSN:0277-786X
ISBN:9780819469922
Date:30 January 2008
Information about this record:
Performance Indicator:EZ~04~03~04
Citations:Google Scholar: 1
Downloads (2010):55
ID Code:15187
Last Modified:23 Sep 2011 10:36
Deposited On:21 Feb 2008 12:15 by Hare, Jonathan

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References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in this archive you will be forwarded to the paracite service. Poorly formated references will probably not work.

1. V. Bullen and S. Corr, “Is a picture worth 1000 words?,” in Semantic Image Retrieval - The User Perspective, (Brighton, UK), March 2007.

2. J. S. Hare, Saliency for Image Description and Retrieval. PhD thesis, University of Southampton, 2005.

3. J. S. Hare, P. H. Lewis, P. G. B. Enser, and C. J. Sandom, “A Linear-Algebraic Technique with an Application in Semantic Image Retrieval,” in Image and Video Retrieval, 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 2006, Proceedings, H. Sundaram, M. Naphade, J. R. Smith, and Y. Rui, eds., Lecture Notes in Computer Science 4071, pp. 31–40, Springer, 2006.

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11. Amazon Inc., “Amazon’s Mechanical Turk.” http://www.mturk.com/mturk/welcome, 2007.

12. P. Sinclair and J. S. Hare, “iRankr.” http://multimedia.ecs.soton.ac.uk/irankr, 2007.

13. M. Kendall, Rank Correlation Methods, Charles Griffin & Company Limited, 1990.

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