Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for Reasoning about Space, Motion, and Interaction (bibtex)
by Bhatt, Mehul and Suchan, Jakob
Abstract:
Semantic interpretation of dynamic visuospatial imagery calls for a general and systematic integration of methods in knowl- edge representation and computer vision. Towards this, we highlight research articulating & developing deep semantics, characterised by the existence of declarative models ?e.g., pertaining space and mo- tion? and corresponding formalisation and reasoning methods sup- porting capabilities such as semantic question-answering, relational visuospatial learning, and (non-monotonic) visuospatial explanation. We position a working model for deep semantics by highlighting se- lect recent / closely related works from IJCAI [8, 4], AAAI [10], ILP [7], and ACS [9]. We posit that human-centred, explainable visual sensemaking necessitates both high-level semantics and low-level vi- sual computing, with the highlighted works providing a model for systematic, modular integration of diverse multifaceted techniques developed in AI, ML, and Computer Vision.
Reference:
Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for Reasoning about Space, Motion, and Interaction (Bhatt, Mehul and Suchan, Jakob), In ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), IOS Press, volume 325, 2020.
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