Image Retrieval Using Multimodal Keywords

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Rajeev Agrawal Articles by William Grosky Articles by Farshad Fotouhi

Eighth IEEE International Symposium on Multimedia (ISM'06)

San Diego, CA

December 11-December 13

ISBN: 0-7695-2746-9

	ASCII Text	x
	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

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

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

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.