A Back End System for Digital Image Library Organization Based on Concept Learning

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...

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Bibliographische Detailangaben
Hauptverfasser:	Lampropoulou, P.S., Sotiropoulos, D.N., Lampropoulos, A.S., Tsihrintzis, G.A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Content based retrieval Digital images Image databases Image retrieval Informatics Information retrieval Information technology Iterative algorithms Machine learning Software libraries
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/ITNG.2009.320