In this paper a novel technique is proposed for image retrieval in large repositories, which relies on both colour and texture features. The technique is a two-pass strategy applied on the wavelet transformed image: in a first step simple colour features are taken into account; subsequently, the search is refined via texture features. Experiments for tuning the system parameters and evaluating the proposed algorithm are reported. The results are also discussed in terms of Receiving Operating Characteristic (ROC) curves.
Wavelet Transform and Image Retrieval: Preliminary experiments / G. Boccignone, A. Chianese, A. Picariello - In: Proceedings of the Joint Conference on Information Sciences[s.l] : Elsevier, 2000. - ISBN 0964345692. - pp. 164-167 (( Intervento presentato al 5. convegno JCIS tenutosi a Atlantic City nel 2000.
Wavelet Transform and Image Retrieval: Preliminary experiments
G. Boccignone
;
2000
Abstract
In this paper a novel technique is proposed for image retrieval in large repositories, which relies on both colour and texture features. The technique is a two-pass strategy applied on the wavelet transformed image: in a first step simple colour features are taken into account; subsequently, the search is refined via texture features. Experiments for tuning the system parameters and evaluating the proposed algorithm are reported. The results are also discussed in terms of Receiving Operating Characteristic (ROC) curves.
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