Integrating Ontologies and Computer Vision for Classification of Objects in Images

In this paper, we propose an integrated system that interfaces
computer vision algorithms for the recognition of simple objects
with an ontology that handles the recognition of complex objects by
means of reasoning. We develop our theory within a foundational ontology
and we present a formalization of the process of conferring meaning
to images.

Publication type: 
Contributo in atti di convegno
Author or Creator: 
Porello, D.
Cristani, M.
Ferrario, R.
Publisher: 
University of Osnabrück, Germania, Germania
Source: 
Workshop on Neural-Cognitive Integration NCI @ KI 2015, pp. 1–15, Dresden, Germania, 22/09/2015
Date: 
2015
Resource Identifier: 
http://www.cnr.it/prodotto/i/343093
Language: 
Eng
ISTC Author: 
Roberta Ferrario's picture
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