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