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VL 2011 , 1 5 .09.2011, Brighton, UK .

VL 2011 , 1 5 .09.2011, Brighton, UK. Spatio-Temporal Visual Ontolog y. Dr Joanna I sabelle Olszewska. VL 2011 , 1 5 .09.2011, Brighton, UK. Contents. Ontology Definition Spatio-Temporal Visual Ontology (STVO) Motivation Concepts Relations

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VL 2011 , 1 5 .09.2011, Brighton, UK .

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  1. VL 2011, 15.09.2011, Brighton, UK. Spatio-Temporal Visual Ontology Dr Joanna Isabelle Olszewska

  2. VL 2011, 15.09.2011, Brighton, UK. Contents • Ontology Definition • Spatio-Temporal Visual Ontology (STVO) • Motivation • Concepts • Relations • Application: STVO-Coupled Active Contours • Experiments • Evaluation • Conclusions

  3. VL 2011, 15.09.2011, Brighton, UK. Ontology Definitions • In Philosophy (IVth century BC) • « study of being »  • In AI (1980’s) • specific vocabulary used to describe a certain reality • + a set of explicit assumptions regarding the meaning of the vocabulary • In Computer Science (1993) • « specification of a conceptualization »

  4. VL 2011, 15.09.2011, Brighton, UK. Spatio-Temporal Visual Ontology • Motivation • mapping of low-level descriptor values to higher-level semantics • bridging the gap between visual features and semantic knowledge

  5. VL 2011, 15.09.2011, Brighton, UK. Spatio-Temporal Visual Ontology • Concepts

  6. VL 2011, 15.09.2011, Brighton, UK. Spatio-Temporal Visual Ontology • Relations • Spatial • Topological relations: Region Connection Calculus (RCC-8) relations • Directional relative postions: o’clock intra and inter-object relations • Relative distances (close/far relations) • Temporal • Visual RCC-8 topological relations O’clock inter-object spatial relations O’clock intra-object spatial relations

  7. VL 2011, 15.09.2011, Brighton, UK. STVO-Coupled Active Contours • Experiments

  8. VL 2011, 15.09.2011, Brighton, UK. STVO-Coupled Active Contours • Evaluation • Precision of detection • Precision of answers = # correct contours / # targets = # correct answers / # queries

  9. VL 2011, 15.09.2011, Brighton, UK. Conclusions • Spatio-Temporal Visual Ontology (STVO) • Granular conceptualization and a hierarchical representation of the visual observation domain • Semantical characterization of each visual scene and its components (e.g. objects of interest) • New sematically meanignful inter- and intra-object spatio-temporal relations • Support of the reasoning about photomoetric, geometrical and spatio-temporal relations between and within the multiple observed objects or parts of tem for the effective interpretation of visual information. • Application to Dynamic Visual Scene Analysis

  10. VL 2011, 15.09.2011, Brighton, UK. Spatio-Temporal Visual Ontology ThankYou Contact Details Dr Ir Joanna Olszewska j.olszewska@hud.ac.uk School of Computing and Engineering University of Huddersfield, Queensgate Huddersfield, HD1 3DH, United Kingdom

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