Image Retrieval Using Multimodal Keywords

Authors:
Rajeev Agrawal;William Grosky;Farshad Fotouhi
Affiliations:
Kettering University, USA;University of Michigan-Dearborn, USA;Wayne State University, USA
Venue:
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
Year:
2006

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Abstract

In this paper, we propose a technique to retrieve the images using the 'search by similarity' method with the help of multimodal keywords. Multimodal keywords consist of low-level MPEG-7 color descriptors and textual keywords. The visual keywords and textual keywords are combined together and the image collection is represented as a matrix, which is similar in representation to a term-document matrix. Using LSI (latent semantic indexing), we demonstrate that the visual keywords, when combined with textual keywords can improve the retrieval results to a great degree.