DocumentCode :
1999656
Title :
A Back End System for Digital Image Library Organization Based on Concept Learning
Author :
Lampropoulou, Paraskevi S. ; Sotiropoulos, Dionysios N. ; Lampropoulos, Aristomenis S. ; Tsihrintzis, George A.
Author_Institution :
Dept. of Inf., Univ. of Piraeus, Piraeus
fYear :
2009
fDate :
27-29 April 2009
Firstpage :
1250
Lastpage :
1255
Abstract :
We present a back-end system which organizes digital image libraries according to a user-defined concept. The concept is extracted from a set of images that the user submits to the system as its representative instances. A relevance feedback procedure, implemented with SVM-based incremental learning algorithms, tunes a classifier that discriminates between concept-relevant and concept-irrelevant images. The system is fully developed and experimentally tested with success.
Keywords :
content-based retrieval; digital libraries; learning (artificial intelligence); relevance feedback; support vector machines; SVM-based incremental learning algorithms; back end system; concept learning; concept-irrelevant images; concept-relevant images; content-based retrieval; digital image library organization; relevance feedback procedure; Content based retrieval; Digital images; Image databases; Image retrieval; Informatics; Information retrieval; Information technology; Iterative algorithms; Machine learning; Software libraries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-3770-2
Electronic_ISBN :
978-0-7695-3596-8
Type :
conf
DOI :
10.1109/ITNG.2009.320
Filename :
5070796
Link To Document :
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