PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Retrieving Keyword's to an Image Query using Kernel CCA
David R. Hardoon, Sandor Szedmak and John Shawe-Taylor
(2004) Working Paper. University of Southampton, Southampton, UK.


In this paper we propose an approach to automatically annotate queryimages with keywords. We use kernel Canonical Correlation Analysis to learn a semantic representation between images and their associateddocuments. The semantic space provides a common representation and enables a comparison between the documents and images. This represen-tation is then used in the creation of new document, comprised from the keywords that best fit the image query. We compare our method againsta standard cross-representation retrieval technique known as Generalised Vector Space Model.

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EPrint Type:Monograph (Working Paper)
Additional Information:This paper has been submitted to NIPS2004.
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:257
Deposited By:Sandor Szedmak
Deposited On:23 November 2004