skip to main content
10.1145/2021164.2021183acmconferencesArticle/Chapter ViewAbstractPublication PagesegConference Proceedingsconference-collections
research-article

How to make a Quick$: using hierarchical clustering to improve the efficiency of the Dollar Recognizer

Published:05 August 2011Publication History

ABSTRACT

We present Quick$ (QuickBuck), an extension to the Dollar Recognizer designed to improve recognition efficiency. While the Dollar Recognizer must search all training templates to recognize an unknown symbol, Quick$ employs hierarchical clustering along with branch and bound search to do this more efficiently. Experiments have demonstrated that Quick$ is almost always faster than the Dollar Recognizer and always selects the same best-match templates.

References

  1. {FPJ02} Fonseca M. J., Pimentel C., Jorge J. A.: Cali: An online scribble recognizer for calligraphic interfaces. In Sketch Understanding, Papers from the 2002 AAAI Spring Symposium (2002), pp. 51--58. 2Google ScholarGoogle Scholar
  2. {GKSS05} Gennari L., Kara L. B., Stahovich T. F., Shimada K.: Combining geometry and domain knowledge to interpret hand-drawn diagrams. Comput. Graph. 29 (August 2005), 547--562. 2 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. {HD04} Hammond T., Davis R.: LADDER: A sketch recognition language. Tech. rep., In MIT COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LABORATORY ANNUAL RESEARCH ABSTRACT. MIT CSAIL, 2004. 1Google ScholarGoogle Scholar
  4. {HS11} Herold J., Stahovich T. F.: Speedseg: A technique for segmenting pen strokes using pen speed. Computers & Graphics 35, 2 (2011), 250--264. 4, 5 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. {KS05} Kara L. B., Stahovich T. F.: An image-based, trainable symbol recognizer for hand-drawn sketches. Comput. Graph. 29 (August 2005), 501--517. 1, 2 Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. {LBKS07} Lee W., Burak Kara L., Stahovich T. F.: An efficient graph-based recognizer for hand-drawn symbols. Comput. Graph. 31 (August 2007), 554--567. 2 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. {OD09} Ouyang T. Y., Davi s R.: A visual approach to sketched symbol recognition. In Proceedings of the 21st international jont conference on Artifical intelligence (San Francisco, CA, USA, 2009), Morgan Kaufmann Publishers Inc., pp. 1463--1468. 2 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. {Rub91} Rubine D.: Specifying gestures by example. Computer Graphics 25 (July 1991), 329--337. 1, 2 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. {WWL07} Wobbrock J. O., Wilson A. D., Li Y.: Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes. In UIST '07: Proceedings of the 20th annual ACM symposium on User interface software and technology (New York, NY, USA, 2007), ACM, pp. 159--168. 1, 2, 3 Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. How to make a Quick$: using hierarchical clustering to improve the efficiency of the Dollar Recognizer

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SBIM '11: Proceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling
      August 2011
      151 pages
      ISBN:9781450309066
      DOI:10.1145/2021164

      Copyright © 2011 ACM

      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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 August 2011

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate20of36submissions,56%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader