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Image based gisting in CLIR

Pasley, R. and Sanderson, M. (2004) Image based gisting in CLIR. In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval. 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25 - 29, 2004, Sheffield, UK. ACM , New York, USA , pp. 466-467. ISBN 1-58113-881-4

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Abstract

In this paper, we describe research which could lead to a novel approach to gathering an overview of a document in a foreign language. The research explores how much of the meaning of a document could be represented using images by researching the ability of subjects to derive the search term that might have been used to return a set of images from an image library. The Google image search engine was used to retrieve the images for this experiment, which uses English throughout. The results were analysed with respect to a previous paper [1] exploring ability to recognise concrete objects in hierarchies. It was found that there is a tendency to use one particular level of categorization.

Item Type: Proceedings Paper
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Repository Officer
Date Deposited: 28 Nov 2008 11:36
Last Modified: 08 Feb 2013 16:57
Published Version: http://dx.doi.org/10.1145/1008992.1009073
Status: Published
Publisher: ACM
Identification Number: 10.1145/1008992.1009073
URI: http://eprints.whiterose.ac.uk/id/eprint/4562

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