Paper Info
Title
An extensible digital ink segmentation and classification framework for natural notetaking
Abstract
With the emergence of digital pen and paper technologies, we have witnessed an increasing number of enhanced paper-digital notetaking solutions. However, the natural notetaking process includes a variety of individual work practices that complicate the automatic processing of paper notes and require user intervention for the classification of digital ink data. We present an extensible digital ink processing framework that simplifies the classification of digital ink data in natural notetaking applications. Our solution deals with the manual as well as automatic ink data segmentation and classification based on Delaunay triangulation and a strongest link algorithm. We further highlight how our solution can be extended with new digital ink classifiers and describe a paper-digital reminder application that has been realised based on the presented digital ink processing framework.
Year
DOI
Venue
2011
10.1145/1996461.1996528
EICS
Keywords
Field
DocType
digital pen,extensible digital ink processing,enhanced paper-digital,natural notetaking process,automatic ink data segmentation,new digital ink classifier,automatic processing,digital ink data,natural notetaking application,digital ink processing framework,extensible digital ink segmentation,classification framework,delaunay triangulation
Computer vision,Data segment,Digital ink,Computer graphics (images),Inkwell,Segmentation,Computer science,Artificial intelligence,Automatic processing,Extensibility,Multimedia,Delaunay triangulation
Conference
Citations 
PageRank 
References 
3
0.41
21
Authors
3
Name
Order
Citations
PageRank
Adriana Ispas1393.20
Beat Signer256450.50
Moira C. Norrie31317201.70