Using object descriptions in a schema network for machine vision
Using object descriptions in a schema network for machine vision
Computer Vision, Graphics, and Image Processing
Synthesizing constraint expressions
Communications of the ACM
The FRL Primer
Adequacy Criteria for Visual Knowledge Representation
Adequacy Criteria for Visual Knowledge Representation
A Procedural Model of Recognition for Machine Perception
A Procedural Model of Recognition for Machine Perception
Image Interpretation Using Multiple Sensing Modalities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A System for Recognizing a Large Class of Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure Based Interpretation of Unstructured Vector Maps
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Treatment of Diagrams in Document Image Analysis
Diagrams '00 Proceedings of the First International Conference on Theory and Application of Diagrams
Animating Chinese paintings through stroke-based decomposition
ACM Transactions on Graphics (TOG)
Constraint propagation and value acquisition: why we should do it interactively
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Control structures for incorporating picture-specific context in image interpretation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Dynamic constraint satisfaction problems
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Conditional existence of variables in generalized constraint networks
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Logical formalization of multimedia interpretation
Knowledge-driven multimedia information extraction and ontology evolution
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Schema-based representations for visual knowledge are integrated with constraint satisfaction techniques. This integration is discussed in a progression of three sketch map interpretation programs: Mapsee-1, Mapsee-2, and Mapsee-3. The programs are evaluated by the criteria of descriptive and procedural adequacy. The evaluation indicates that a schema-based representation used in combination with a hierarchical arc-consistency algorithm constitutes a modular, efficient, and effective approach to the structured representation of visual knowledge. The schemata used in this representation are embedded in composition and specialization hierarchies. Specialization hierarchies are further expanded into discrimination graphs.