Paper Info
Title
Multi-Resolution and Streaming of Whiteboard Stroke Media
Abstract
Pen stroke data collected on electronic whiteboards is typically collected together andgrouped into static pages of information. However to be able to use electronic whiteboards for virtual collaborations in a network environment, the inherent dynamic time based aspect of the stroke media needs to be taken into account. Furthermore given that a full whiteboard contains a rather large amount of data methods need to be devised to efficiently transmit such data in a progressive fashion. In this paper the media properties for stroke data are analyzed and a form is devised where it can be segmented into hierarchical representations of visual detail and made ready for progressive streaming. Strokes are first segmented into non-intersecting sunstrokes, and then further subsampled in such a fashion as to minimize the error between the original stroke and the subsampled stroke. The error measure used isthe area between the original stroke and the subsampled stroke. These sunstrokes form aprogressive more detailed approximation of the original stroke and can be streamed in thatorder allowing progressively finer display of whiteboard materials.
Year
DOI
Venue
2000
10.1109/MMSE.2000.897206
ISMSE
Keywords
Field
DocType
error measure,media property,subsampled stroke,stroke data,original stroke,data method,whiteboard stroke media,full whiteboard,stroke media,electronic whiteboards,pen stroke data,data analysis,image segmentation,algorithm design and analysis,groupware,image resolution,data collection,writing
Stroke segmentation,Computer vision,Algorithm design,Computer graphics (images),Computer science,Collaborative software,Stroke,Image segmentation,Whiteboard,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
0-7695-0933-9
2
0.52
References 
Authors
0
3
Name
Order
Citations
PageRank
Zon-yin Shae120621.12
Belle Tseng272148.61
Juerg von Kaenel320.86