DocumentCode
996481
Title
Storage and retrieval of compressed images
Author
Idris, F. ; Panchanathan, S.
Author_Institution
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Volume
41
Issue
3
fYear
1995
fDate
8/1/1995 12:00:00 AM
Firstpage
937
Lastpage
941
Abstract
In this paper, we propose a new technique for the storage and retrieval of compressed images. Here, the images are compressed using vector quantization and the codebook is used to generate a feature vector. This feature vector is used as an index to access the images in the database. This technique combines image compression with image indexing. In addition, it has lower storage and computation requirements compared with other techniques reported in the literature
Keywords
computational complexity; data compression; image coding; vector quantisation; video coding; visual databases; codebook; compressed images; computation requirements; database; feature vector; image indexing; image retrieval; image storage; vector quantization; Clustering algorithms; Histograms; Image coding; Image databases; Image retrieval; Image storage; Indexing; Iterative algorithms; Spatial databases; Vector quantization;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0098-3063
Type
jour
DOI
10.1109/30.468062
Filename
468062
Link To Document