Abstract
The purpose of this paper is to discuss design considerations in the choice of mechanisms when a flexible query system dealing with visual scenes is being constructed. More concretely, the issues are:
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Flexibility in adding new information to the knowledge base
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Power of inferencing
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Avoiding unnecessary generation of hypotheses where a great deal of image processing has to be perfected in order to test them
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Automatic generation of recognition strategies.
This work was supported by NSF grant MCS-81-96176.
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References
R. A. Brooks: Model based three dimensional interpretations of two-dimensional images, IEEE Trans. Pattern Analysis Machine Intelligence PAMI-5, 140–150 (1983)
D. H. Ballard, C. M. Brown, J.A. Feldman: “An approach to knowledge directed image analysis”, in Proc. 5th Int’l Joint Conf. on Artificial Intelligence, Cambridge, MA, 1977, pp. 664–670
A. Hanson, E. Riseman: “The Design of a Semantically Directed Vision Processor”, Computer and Information Sciences Department Report 75C-1, University of Massachusetts (1975)
R. Bajcsy, D. Rosenthal: “Visual and conceptual focus of attention”, in Structured Computer Vision, ed. by S. Tanimoto, A. Klinger (Academic Press, New York, 1980), pp. 133–149
P. J. Burt, T. H. Hong, A. Rosenfeld: Segmentation and estimation of image region properties through cooperative hierarchical computation, IEEE Trans. Systems, Man, Cybernetics SMC-11, 802–809 (1981)
M. D. Kelly: “Edge detection in pictures by computer using planning”, in Machine Intelligence 6, ed. by B. Meitzer, D. Michie (University of Edinburgh Press, Edinburgh, UK, 1971), pp. 379–409
M. D. Levine: “Region analysis using a pyramid data structure”, in Structured Computer Vision, ed. by S. Tanimoto, A. Klinger (Academic Press, New York, 1980), pp. 57–100
S. Tanimoto: “Image data structures”, in Structured Computer Vision, ed. by S. Tanimoto, A. Klinger (Academic Press, New York, 1980), ppo 31–55
Ro Davis, J. King: “An Overview of Production Systems”, Artificial Intelligence Laboratory Memo AIM-271, Stanford University (1975)
A. K. Joshi: “Some Extensions of a System for Inferencing on Partial Information”, Computer and Information Sciences Department, University of Pennsylvania (1977)
K. R. Sloan Jr.: “World Model Driven Recognition of Natural Scenes”, Ph.D. dissertation. Computer and Information Sciences Department, University of Pennsylvania (1977)
A. Tidhar: “Using a Structural World Model in Flexible Recognition of 2-D Patterns”, Ph.D. dissertation. Computer and Information Sciences Department, University of Pennsylvania (1974)
D. A. Rosenthal: “Strip Finding in Fourier Space”, Computer and Information Sciences Department, University of Pennsylvania (1978)
A. Rosenfeld, R., Hummel, S. Zucker: Scene labeling by relaxation operations, IEEE Trans. Systems, Man, Cybernetics SMC-6, 420–433 (1976)
D. A. Rosenthal: An Inquiry Driven Vision System Based on Visual and Conceptual Hierarchies (UMI Research Press, Ann Arbor, MI, 1981)
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Rosenthal, D.A., Bajcsy, R. (1984). Visual and Conceptual Hierarchy — A Paradigm for Studies of Automated Generation of Recognition Strategies. In: Rosenfeld, A. (eds) Multiresolution Image Processing and Analysis. Springer Series in Information Sciences, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51590-3_4
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DOI: https://doi.org/10.1007/978-3-642-51590-3_4
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