Sridhar, M, Cohn, AG and Hogg, DC (2011) Benchmarking qualitative spatial calculi for video activity analysis. In: Proceedings IJCAI Workshop Benchmarks and Applications of Spatial Reasoning. IJCAI 2011, 16-18 Jul 2011, Barcelona, Spain. , 15 - 20.
Abstract
This paper presents a general way of addressing problems in video activity understanding using graph based relational learning. Video activities are described using relational spatio-temporal graphs, that represent qualitative spatio- temporal relations between interacting objects. A wide range of spatio-temporal relations are introduced, as being well suited for describing video activities. Then, a formulation is proposed, in which standard problems in video activity under- standing such as event detection, are naturally mapped to problems in graph based relational learning. Experiments on video understanding tasks, for a video dataset consisting of common outdoor verbs, validate the significance of the proposed approach.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Nov 2014 16:32 |
Last Modified: | 19 Dec 2022 13:28 |
Published Version: | http://qsr.informatik.uni-freiburg.de/ijcai11-benc... |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81167 |