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Visualisation of Conceptual Descriptions Derived from Image Sequences

  • Conference paper
Mustererkennung 1999

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

Synthetic image sequences are generated based on conceptual descriptions which have been extracted automatically by model- based tracking from video sequences recording vehicle manouvers in inner-city traffic scenes. A detailed comparison between original and synthesized image sequences offers clues as to which knowledge must be provided in addition to elementary conceptual descriptions in order to obtain acceptable agreement.

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References

  1. E. André and T. Rist: Coping with Temporal Constraints in Multimedia Presentation Planning. 13th AAAI 1996, pp. 142–147.

    Google Scholar 

  2. A. Blocher and J.R.J. Schirra: Optional Deep Case Filling and Focus Control with Mental Images: ANTLIMA-KOREF. 14th IJCAI, Montréal, Québec, Canada 1995, pp. 417–423.

    Google Scholar 

  3. H. Buxton and S. Gong: Visual Surveillance in a Dynamic and Uncertain World. Artif. Intelligence 78:1–2 (1995) 431–459.

    Google Scholar 

  4. A. Butz: Anymation with CATHI. 14th AAAI 1997, pp. 957–962.

    Google Scholar 

  5. R.J. Howarth: Interpreting a Dynamic and Uncertain World: Task-Based Control. Artif. Intelligence 100:1–2 (1998) 5–85.

    Google Scholar 

  6. T. Huang, D. Roller, J. Malik, G. Ogasawara, B. Rao, S. Russell, and J. Weber: Automatic Symbolic TYaffic Scene Analysis Using Belief Networks. 12th AAAI 1994, pp. 966–972.

    Google Scholar 

  7. H. Kollnig and H.-H. Nagel: 3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients. Intern. J. Comp. Vision 23: 3 (1997) 283–302.

    Article  Google Scholar 

  8. S.J. Maybank, A.D. Worrall, and G.D. Sullivan. A Filter for Visual Tracking Based on a Stochastic Model for Driver Behaviour. In Proc. 4th Eur. Conf. Comp. Vision, Cambridge/UK 1996, Vol. II, pp. 540–549.

    Google Scholar 

  9. K.R. McKeown: Generating Multimedia Briefings: Language Generation in a Coordinated Multimedia Environment. 15th IJCAI, Nagoya, Jap. 1997, pp. 1607–1612.

    Google Scholar 

  10. A. Mukerjee, K. Gupta, S. Nautiyal, M.P. Singh, and N. Mishra: Conceptual Description of Visual Scenes from Linguistic Models. ICCV’98 Workshop on Conceptual Descriptions of Images, Bombay, India, pp. 83–96.

    Google Scholar 

  11. H.-H. Nagel: From Image Sequences towards Conceptual Descriptions. Image and Vision Computing 6: 2 (1988) 59–74.

    Article  Google Scholar 

  12. B. Neumann: Natural Language Description of Time-Varying Scenes. In D. Waltz (Ed.),’Semantic Structures - Advances in Natural Language Processing’, Lawrence Erlbaum Assoc., Hillsdale, NJ, 1989, pp. 167–206.

    Google Scholar 

  13. H.-J. Novak: Generating a Coherent Text Describing a Traffic Scene. COLING 1986, pp. 570–575.

    Google Scholar 

  14. C.S. Pinhanez and A.F. Bobick: Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems. 13th AAAI 1996, pp. 1116–1123.

    Google Scholar 

  15. S.G. Towns, C.B. C.llaway, and J.C. Lester: Generating Coordinated Natural Language and 3D Animations for Complex Spatial Explanations. 15th AAAI 1998, pp. 112–119.

    Google Scholar 

  16. C. Vorwerg, G. Socher, T. Fuhr, G. Sagerer, and G. Rickheit: Projective Relations for 3D Space: Computational Model, Application, and Psychological Evaluation. 14th AAAI 1997, pp. 159–164.

    Google Scholar 

  17. M.X. Zhou and S.K. Feiner: The Representation and Use of a Visual Lexicon for Automated Graphics Generation. 15th IJCAI, Nagoya, Jap. 1997, pp. 1056–1062.

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Nagel, HH., Haag, M., Jeyakumar, V., Mukerjee, A. (1999). Visualisation of Conceptual Descriptions Derived from Image Sequences. In: Förstner, W., Buhmann, J.M., Faber, A., Faber, P. (eds) Mustererkennung 1999. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60243-6_42

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  • DOI: https://doi.org/10.1007/978-3-642-60243-6_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66381-2

  • Online ISBN: 978-3-642-60243-6

  • eBook Packages: Springer Book Archive

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