DocumentCode :
3226951
Title :
Image Retrieval Using Multimodal Keywords
Author :
Agrawal, Rajeev ; Grosky, William ; Fotouhi, Farshad
Author_Institution :
Kettering Univ., Flint, MI
fYear :
2006
fDate :
Dec. 2006
Firstpage :
817
Lastpage :
822
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
Keywords :
data compression; image colour analysis; image representation; image retrieval; image texture; indexing; LSI; MPEG-7 color descriptor; image retrieval; latent semantic indexing; multimodal keywords; search-by-similarity method; term-document matrix represention; textual keywords; visual keywords; Content based retrieval; Histograms; Image retrieval; Image storage; MPEG 7 Standard; Matrix decomposition; Multimedia databases; Pixel; Streaming media; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, 2006. ISM'06. Eighth IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7695-2746-9
Type :
conf
DOI :
10.1109/ISM.2006.91
Filename :
4061265
Link To Document :
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