In the last years a great deal of content-based techniques for image indexing and retrieval has been developed. In spite of such important efforts, automatic seeking of images in a very large database is still a challenging task. In this paper we describe a strategy to cope with efficient indexing for query by example processing, which brings together Animate Vision and data discovery techniques. In the proposed method, images are represented in a novel manner by means of their Information Path so that hidden semantic associations among them, in terms of image categories, are discovered. Such associations eventually allow an automatic pre-classification, which makes query processing more efficient and effective.
Animate system for query by example in image databases / G. Boccignone, A. Chianese, V. Moscato, A. Picariello - In: Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications, EuroIMSA[s.l] : Acta Press, 2005. - ISBN 0889864861. - pp. 451-456 (( convegno International Conference on Internet and Multimedia Systems and Applications, EuroIMSA tenutosi a Grindelwald nel 2005.
|Titolo:||Animate system for query by example in image databases|
BOCCIGNONE, GIUSEPPE (Corresponding)
|Parole Chiave:||Animate Vision; Image Indexing; Image Retrieval; Query By Example|
|Settore Scientifico Disciplinare:||Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni|
|Data di pubblicazione:||2005|
|Enti collegati al convegno:||Int. Assoc. of Science and Technology for Development (IASTED)|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|