This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Eighth IEEE International Symposium on Multimedia (ISM'06)
Image Retrieval Using Multimodal Keywords
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
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
Usage of this product signifies your acceptance of the Terms of Use.