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23. Using Entropy to Distinguish Shape versus Text in Hand-Drawn Diagrams

This video was recorded at AAAI 2009: AI Video Competition. Most sketch recognition systems are accurate in recognizing either text or shape (graphic) ink strokes,but not both. Distinguishing between shape and text strokes is, therefore, a critical task in recognizing hand-drawn digital ink diagrams that contain text labels and annotations. We have found the entropy rate to be an accurate criterion of classification. We found that the entropy rate is significantly higher for text strokes compared to shape strokes and can serve as a distinguishing factor between the two. The paper has been accepted for publication in the 2009 IJCAI proceedings. This video shows our system in action. Please visit our lab here -> http://srlweb.cs.tamu.edu/srlng/home.

Keywords:: videolectures, ocwc, oec

Disciplines:

Science and Technology / Computer Science / Intelligent Systems

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Material Type:: Presentation
Date Added to MERLOT:: February 10, 2015
Date Modified in MERLOT:: February 10, 2015
Authors:: Tracy Hammond, Department of Computer Science and Engineering, Texas A&M University
Akshay Bhat, Department of Computer Science and Engineering, Texas A&M University
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States