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Structuralizing digital ink for efficient selection

Published: 29 January 2006 Publication History

Abstract

Raw digital ink is informal and unstructured. Its editing, especially its selection, is often inefficient. In this paper, we present approaches to structuralize raw digital ink as multiple hierarchies to facilitate its selection. First a link model is built to organize ink as a mesh-like structure. Based on the link model, the isolated stroke groups form patches. In each patch, textual and graphical areas are separated. Then, each textual area is segmented into text lines, and each text line is partitioned to words. We also design gestures for selecting structured ink. Experiments showed that our ink-structuralizing approaches are effective and selecting structured ink by our gestures considerably outperforms selecting raw ink.

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cover image ACM Conferences
IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces
January 2006
392 pages
ISBN:1595932879
DOI:10.1145/1111449
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 29 January 2006

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Author Tags

  1. digital ink
  2. selection gesture
  3. structuralizing
  4. text line extraction
  5. text/graph separation

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IUI06
IUI06: 11th International Conference on Intelligent User Interfaces
January 29 - February 1, 2006
Sydney, Australia

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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  • (2011)Technical SectionComputers and Graphics10.1016/j.cag.2011.07.00235:5(976-991)Online publication date: 1-Oct-2011
  • (2010)Building digital ink recognizers using data miningProceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I10.5555/1945758.1945801(358-367)Online publication date: 1-Jun-2010
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  • (2010)Adaptive Correction of Errors from Segmented Digital Ink Texts in Chinese Based on ContextProceedings of the 2010 Second International Conference on Information Technology and Computer Science10.1109/ITCS.2010.14(25-35)Online publication date: 24-Jul-2010
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