Ontologies for vision agents

Joanna Isabelle Olszewska

Ontologies for vision agents

School of Computing, Engineering and Physical Sciences

Research output: Contribution to conference › Presentation

Abstract

With the growth of AI agents in our daily life, people are increasingly asked to interact with these intelligent agents, which are most of the time equipped with camera(s) and/or systems able to automatically process visual inputs such as raw still images, live video feeds, etc. Hence, the development of ontologies for these vision agents is of prime importance, in order to allow the sharing of the information between humans and/or vision-enabled robotic systems in a consistent and interoperable way. In this work, we present the challenges underlying vision agents as well as the solutions provided by the development of ontologies such as the Spatio-Temporal Visual Ontology (STVO).

Original language	English
Publication status	Published - 5 Oct 2018
Event	2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Madrid, Spain Duration: 1 Oct 2018 → 5 Oct 2018 https://www.iros2018.org/

Conference

Conference	2018 IEEE/RSJ International Conference on Intelligent Robots and Systems
Abbreviated title	IROS 2018
Country/Territory	Spain
City	Madrid
Period	1/10/18 → 5/10/18
Internet address	https://www.iros2018.org/

Cite this

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title = "Ontologies for vision agents",

abstract = "With the growth of AI agents in our daily life, people are increasingly asked to interact with these intelligent agents, which are most of the time equipped with camera(s) and/or systems able to automatically process visual inputs such as raw still images, live video feeds, etc. Hence, the development of ontologies for these vision agents is of prime importance, in order to allow the sharing of the information between humans and/or vision-enabled robotic systems in a consistent and interoperable way. In this work, we present the challenges underlying vision agents as well as the solutions provided by the development of ontologies such as the Spatio-Temporal Visual Ontology (STVO).",

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AB - With the growth of AI agents in our daily life, people are increasingly asked to interact with these intelligent agents, which are most of the time equipped with camera(s) and/or systems able to automatically process visual inputs such as raw still images, live video feeds, etc. Hence, the development of ontologies for these vision agents is of prime importance, in order to allow the sharing of the information between humans and/or vision-enabled robotic systems in a consistent and interoperable way. In this work, we present the challenges underlying vision agents as well as the solutions provided by the development of ontologies such as the Spatio-Temporal Visual Ontology (STVO).

UR - http://www.aslab.upm.es/events/WOSRA/

M3 - Presentation

T2 - 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems

Y2 - 1 October 2018 through 5 October 2018

ER -

Ontologies for vision agents

Abstract

Conference

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