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.

Animate system for query by example in image databases

G. Boccignone;
2005

Abstract

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 Vision; Image Indexing; Image Retrieval; Query By Example
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Int. Assoc. of Science and Technology for Development (IASTED)
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/494315
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