DocumentCode :
468444
Title :
Facial Image Retrieval through Compound Queries Using Constrained Independent Component Analysis
Author :
Ahmed, Bilal ; Rasheed, Tahir ; Lee, Young-Koo ; Lee, Sungyoung ; Kim, Tae-Seong
Author_Institution :
Kyung Hee Univ., Suwon
Volume :
1
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
544
Lastpage :
548
Abstract :
In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). We have employed cICA for the online extraction of those independent components from the entire database which bear some similarity to the query-images. Instead of using any offline learning mechanism or feature extraction technique, our system works completely online. It can cater for queries formulated from both single and multiple examples, for achieving higher accuracy. For compound queries, instead of treating each query-image independently, the system is capable of finding images similar not only to the individual query-images, but also to their different combinations
Keywords :
face recognition; feature extraction; image retrieval; independent component analysis; constrained independent component analysis; facial image retrieval; image database; online feature extraction; query processing; Content based retrieval; Feature extraction; Histograms; Image databases; Image retrieval; Image segmentation; Independent component analysis; Information retrieval; Principal component analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
ISSN :
1082-3409
Print_ISBN :
978-0-7695-3015-4
Type :
conf
DOI :
10.1109/ICTAI.2007.60
Filename :
4410334
Link To Document :
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