Retrieving Keyword’s to an Image Query using Kernel CCA
نویسندگان
چکیده
In this paper we propose an approach to automatically annotate query images with keywords. We use kernel Canonical Correlation Analysis to learn a semantic representation between images and their associated documents. The semantic space provides a common representation and enables a comparison between the documents and images. This representation is then used in the creation of new document, comprised from the keywords that best fit the image query. We compare our method against a standard cross-representation retrieval technique known as Generalised Vector Space Model.
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تاریخ انتشار 2004