Sketch Interpretation Using Multiscale Models of Temporal Patterns
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The growing popularity of tablet PCs and intelligent pen-based interfaces have increased the importance of freehand sketch recognition algorithms as enabling technology. A recognition framework based on multiscale statistical models of temporal patterns significantly increases correct recognition rates, with no added computational penalties.
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[1] C. Alvarado and R. Davis, "Sketchread: A Multi-Domain Sketch Recognition Engine," Proc. 17th ACM Symp. User Interface Software and Technology (UIST 04), ACM Press, 2004, pp. 23–32.
[2] M. Shilman et al., "Statistical Visual Language Models for Ink Parsing," AAAI Spring Symp.: Sketch Understanding, AAAI Press, 2002, pp. 126–132.
[3] L. Gennari, L.B. Kara, and T.F. Stahovich, "Combining Geometry and Domain Knowledge to Interpret Hand-Drawn Diagrams," AAAI Fall Symp., AAAI Press, 2004, pp. 64–70.
[4] M. Shilman and P. Viola, "Spatial Recognition and Grouping of Text and Graphics," Proc. Eurographics Workshop Sketch-Based Interfaces and Modeling, Eurographics Assoc., 2004, pp. 91–95.
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[6] T.M. Sezgin and R. Davis, "HMM-Based Efficient Sketch Recognition," Proc. 10th Int'l Conf. Intelligent User Interfaces (IUI 05), ACM Press, 2005, pp. 281–283.
[7] S. Simhon and G. Dudek, "Sketch Interpretation and Refinement Using Statistical Models," Proc. 15th Eurographics Symp. Rendering (EGSR 04), Eurographics Assoc., 2004, pp. 23–32.
Index Terms:
User interfaces, Artificial Intelligence, Learning, Vision and Scene Understanding, Segmentation, Object recognition, Hierarchical, Statistical, Document and Text Processing, Graphics recognition and interpretation
Citation:
Tevfik Metin Sezgin, Randall Davis, "Sketch Interpretation Using Multiscale Models of Temporal Patterns," IEEE Computer Graphics and Applications, vol. 27, no. 1, pp. 28-37, Jan./Feb. 2007, doi:10.1109/MCG.2007.17