Image Retrieval Using Multimodal Keywords

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http://doi.ieeecomputersociety.org/10.1109/ISM.2006.91

Eighth IEEE International Symposium o ...

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	Rajeev Agrawal, William Grosky, Farshad Fotouhi, "Image Retrieval Using Multimodal Keywords," Multimedia, International Symposium on, pp. 817-822, Eighth IEEE International Symposium on Multimedia (ISM'06), 2006.

	BibTex	x
	@article{ 10.1109/ISM.2006.91, author = {Rajeev Agrawal and William Grosky and Farshad Fotouhi}, title = {Image Retrieval Using Multimodal Keywords}, journal ={Multimedia, International Symposium on}, volume = {0}, year = {2006}, isbn = {0-7695-2746-9}, pages = {817-822}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISM.2006.91}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia, International Symposium on TI - Image Retrieval Using Multimodal Keywords SN - 0-7695-2746-9 SP817 EP822 A1 - Rajeev Agrawal, A1 - William Grosky, A1 - Farshad Fotouhi, PY - 2006 KW - null VL - 0 JA - Multimedia, International Symposium on ER -

Rajeev Agrawal, Kettering University, USA

William Grosky, University of Michigan-Dearborn, USA

Farshad Fotouhi, Wayne State University, USA

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.

Citation:

Rajeev Agrawal, William Grosky, Farshad Fotouhi, "Image Retrieval Using Multimodal Keywords," ism, pp.817-822, Eighth IEEE International Symposium on Multimedia (ISM'06), 2006

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