Structuralizing digital ink for efficient selection

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn 2006, Issue , 2006, Pages 148-154

  Ao, Xiang ^a   Li, Junfeng ^a   Wang, Xugang ^a   Dai, Guozhong ^a  

^a INSTITUTE OF SOFTWARE   (China)

Author keywords

Digital ink; Selection gesture; Structuralizing; Text line extraction; Text graph separation

Indexed keywords

FEATURE EXTRACTION; GESTURE RECOGNITION; GRAPH THEORY; IMAGE SEGMENTATION; MATHEMATICAL MODELS; TEXT PROCESSING;

DIGITAL INKS; SELECTION GESTURES; STRUCTURALIZING; TEXT LINE EXTRACTION; TEXT/GRAPH SEPARATION;

INK;

EID: 33746042198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1111449.1111484     Document Type: Conference Paper

References (20)

1. C. M. Bishop, M. Svensén, G E. Hinton. Distinguishing Text from Graphics in On-line Handwritten Ink, 2004, IWFHR-9 F. Kimura and H. Fujisawa 142-147
2. Elisabetta Bruzzone, Meri Cristina Coffetti: An Algorithm for Extracting Cursive Text Lines. ICDAR 1999: pp. 749-752
3. Eric W. Weisstein. "Delaunay Triangulation." http://mathworld.wolfram.com/DelaunayTriangulation.html
4. Hideaki Goto, Hirotomo Aso, Extracting curved text lines using local linearity of the text line, IJDAR (1999) 2: pp. 111-119
5. Igarashi T., Matsuoka, S. and Masui, T. Adaptive Recognition of Human-Organized Implicit Structures, In Proceedings of Visual Languages '95, pp.258-266.
6. Jisheng Liang, Robert M. Haralick, Ihsin T. Phillips: A Statistically based, Highly Accurate Text-line Segmentation Method. ICDAR 1999: pp. 551-554
7. KEISUKE MOCHIDA and MASAKI NAKAGAWA, Separating Figure, Mathematical Formula and Japanese Text from Free Handwriting In Mixed Online Documents. International Journal of Pattern Recognition and Artificial Intelligence Vol. 18, No. 7, 2004, pp. 1173-1187
8. Koffka, K., Perception: An introduction to Gestalt-theorie. Psychological Bulletin, 19: pp. 531-585
9. L. O'Gorman, The document spectrum for page layout analysis, IEEE Trans, on P.A.M.I., vol. 15, pp. 1162-1173, 1993.
10. Li, Y., Guan, Z.,Wang, H., Dai, G., and Ren, X. Structural izing Freeform Notes by Implicit Sketch Understanding, In AAAI 2002 Spring Symposium on Sketch Understanding, AAAI TR.SS-02-08.
11. Markus Feldbach, Klaus D. Tönnies: Line Detection and Segmentation in Historical Church Registers. ICDAR 2001: pp. 743-747
12. Martin Wattenberg and Danyel Fisher. A Model of Multi-Scale Perceptual Organization in Information Graphics. In Proceedings of IEEE Symposium on Information Visualization, October 2003
13. Moran, T.P., Chiu, P., Melle, W.v., Kurtenbach, G. Implicit Structures for Pen-Based Systems within a Freeform Interaction Paradigm. CHI '95 (Denver, Colorado, 1995), ACM Press, pp. 487-494
14. Pu Y. and Shi Z., A natural learning algorithm based on Hough transform for text lines extraction in handwritten documents, In Proceedings 6th IWFHR 1998, pp. 637-646.
15. Saund, E., and Moran, T., A Perceptually Supported Sketch Editor, Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), Marina del Rey, CA., November, 1994
16. Saund, E., Fleet, D., Larner, D., and Mahoney, J., Perceptually-Supported Image Editing of Text and Graphics, Proc. UIST '03 (ACM Symposium on User Interface Software and Technology), pp. 183-192.
17. Saund, E., Mahoney, J., Fleet, D., Lamer, D., and Lank, E., Perceptual Organization as a Foundation for Intelligent Sketch Editing, 2002 AAAI Spring Symposium on Sketch Understanding, pp. 118-125
18. Seong-Whan Lee and Dae-Seok Ryu, IEEE. Transaction on Pattern Analysis and Machine Intelligence, Vol. 23, No. 11, pp.1240-1256, November 2001
19. U. Pal, S. Sinha and B. B. Chaudhuri, Multi-Oriented-Text lines Detection and Their Skew Estimation, Lecture Notes in Computer Science, Volume 2749 / 2003, Chapter: pp. 1146-1153
20. Zhixin Shi, Venu Govindaraju: Skew Detection for Complex Document Images Using Fuzzy Runlength. ICDAR 2003: pp.715-71