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 Database / Chianese, Angelo; Picariello, Antonio; Moscato, Vincenzo; G., Boccignone. - STAMPA. - (2005), pp. 451-456. (Intervento presentato al convegno Internet and Multimedia Systems and Applications tenutosi a Grindelwald, Switzerland nel February 21-23, 2005).
Animate System for Query By Example in Image Database
CHIANESE, ANGELO;PICARIELLO, ANTONIO;MOSCATO, VINCENZO;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
