1. Qualitative Spatio-Temporal Representation for Event Extraction from Video Data of Football Games
- Author
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Kazuko Takahashi, Takanori Kiyose, and Masaki Sakaida
- Subjects
Sequence ,Computational complexity theory ,Computer science ,business.industry ,Event (relativity) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Representation (systemics) ,Football ,computer.software_genre ,Semantics ,Spatial relation ,Data mining ,Artificial intelligence ,business ,computer ,Natural language processing ,Mereology - Abstract
We describe a qualitative representation of the spatial relations between extracted regions of video data, and discuss event occurrence based on this representation. We use video footage of football games and investigate a formalization to determine whether an event has occurred, specifically a pass or shot for a goal. We represent mereological and directional relations of regions in each frame based on extracted regions of objects, and determine event occurrence from the sequence of these relations. This qualitative spatio-temporal method reduces computational complexity and provides clear semantics defining an event.
- Published
- 2014
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