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.

Integrating Ontologies and Computer Vision for Classification of Objects in Images

Porello D;Cristani M;Ferrario R
2015

Abstract

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.
2015
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Inglese
Besold, T.R.; Kühnberger, K-U.
Workshop on Neural-Cognitive Integration NCI @ KI 2015
Workshop on Neural-Cognitive Integration NCI @ KI 2015
3-2015
1
15
15
Sì, ma tipo non specificato
22/09/2015
Dresden, Germania
Computer vision
ontology
classication
semantic gap.
3
none
Porello, D; Cristani, M; Ferrario, R
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/305321
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