Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies (bibtex)
by Bhatt, Mehul and Suchan, Jakob
Abstract:
We address computational cognitive vision and perception at the interface of language, logic, cognition, and artificial intelligence. The chapter presents general methods for the processing and semantic interpretation of dynamic visuospatial imagery with a particular emphasis on the ability to abstract, learn, and reason with cognitively rooted structured characterisations of commonsense knowledge pertaining to space and motion. The presented work constitutes a systematic model and methodology integrating diverse, multi-faceted AI methods pertaining Knowledge Representation and Reasoning, Computer Vision, and Machine Learning towards realising practical, human-centred artificial visual intelligence.
Reference:
Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies (Bhatt, Mehul and Suchan, Jakob), Chapter in (Chetouani, Mohamed, Dignum, Virginia, Lukowicz, Paul, Sierra, Carles, eds.), Springer International Publishing, 2023.
Bibtex Entry:
@Inbook{Bhatt-Suchan2023-HCAI,
author="Bhatt, Mehul and Suchan, Jakob",
editor="Chetouani, Mohamed and Dignum, Virginia and Lukowicz, Paul and Sierra, Carles",
title="Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies",
bookTitle="Human-Centered Artificial Intelligence: Advanced Lectures",
year="2023",
publisher="Springer International Publishing",
address="Cham",
pages="216--242",
abstract="We address computational cognitive vision and perception at the interface of language, logic, cognition, and artificial intelligence. The chapter presents general methods for the processing and semantic interpretation of dynamic visuospatial imagery with a particular emphasis on the ability to abstract, learn, and reason with cognitively rooted structured characterisations of commonsense knowledge pertaining to space and motion. The presented work constitutes a systematic model and methodology integrating diverse, multi-faceted AI methods pertaining Knowledge Representation and Reasoning, Computer Vision, and Machine Learning towards realising practical, human-centred artificial visual intelligence.",
isbn="978-3-031-24349-3",
doi="10.1007/978-3-031-24349-3_12",
url="https://doi.org/10.1007/978-3-031-24349-3_12"
}
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