Statistical pattern recognition meets formal ontologies: Towards a semantic visual understanding

In this paper we propose a series of novel lines of research emerging from the encounter of computer vision and formal ontologies. The main underlying idea is that a genuine visual knowledge can only emerge by the integration of the algorithmic and the semantic layer, which are typical of the two disciplines. We also present some early attempts at applying the proposed hybrid approach to tackle some important and still unsolved issues.

Publication type: 
Contributo in atti di convegno
Author or Creator: 
Cristani, Marco
Ferrario, Roberta
Source: 
Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges (RFMIR), pp. 23–25, Istanbul, 12-16/11/2014
Date: 
2014
Resource Identifier: 
http://www.cnr.it/prodotto/i/298461
https://dx.doi.org/10.1145/2666253.2666254
info:doi:10.1145/2666253.2666254
http://www.scopus.com/record/display.url?eid=2-s2.0-84919326964&origin=inward
urn:isbn:9781450306157
Language: 
Eng
ISTC Author: 
Roberta Ferrario's picture
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