Understanding Web query interfaces: best-effort parsing with hidden syntax
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser
Graphics Recognition. Recent Advances and New Opportunities
Creating the perception-based LADDER sketch recognition language
Proceedings of the 8th ACM Conference on Designing Interactive Systems
SSP: sketching slide presentations, a syntactic approach
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
An incremental parser to recognize diagram symbols and gestures represented by adjacency grammars
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
An adjacency grammar to recognize symbols and gestures in a digital pen framework
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Automatic learning of symbol descriptions avoiding topological ambiguities
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
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Visual computing environments continue to grow in importance, yet fast, general parsing algorithms for visual languages remain elusive. In this paper, we present an incremental parsing algorithm for a broad class of visual languages which do not contain overlapping elements. Our algorithm is based on the concept of adjacency grammars, where adjacencies are defined so as to encompass both spatial and logical constraints. Our approach combines bottom-up and top-down methods to support incremental parsing of visual input, allowing for measurably efficient online parsing of diagram-like visual languages, with observed linear run-times for large visual sentences.