PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Rabitti F., Savino P. Automatic image indexation to support content-based retrieval. In: Information Processing & Management, vol. 28 (5) pp. 547 - 565. Pergamon, 1992.
 
 
Abstract
(English)
This article presents a new approach for the automatic interpretation of the content of graphical and pictorial images and the creation of access structures based on this analysis. The automatic indexation of images is necessary to support the access to a database of images, giving conditions on the semantic image contento The key aspect of the image analysis process is on the composition of objects, in terms of other objects, taking into account different interpretations and different levels of recognition. The image analysis process can be applied to images belonging to specific domains, described in advance to the system. Image analysis is performed in two steps: in the first step, si mpie objects are recognized starting from basic graphical/pictorial elements; in the second step, complex objects are recognized (applying domain rules) as compositions of simpler objects and different interpretations are generated. The image query language allows the user to express conditions on the objects to be found in the images, on their relative positions, on their interpretation and degree of recognition. A comprehensive example, based on 2D graphical images, is discussed, and the implemented prototype is described.
Subject Image analysis


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional