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Harnessing Remote Computation to Visualize and Segment the Visible Human Data Sets Over
the Next Generation Internet
Abstract
The Immersive Segmentation environment is a stereoscopic visualization environment for
segmenting large volumetric data sets such as the Visible Human. The environment is
characterized by the fine-grained, local application of high-cost computations. This provides the
user with the ability to continuously control the progress of the segmentation algorithms in
interactive time. This paper discusses the adaptation of this environment as a client/server
application for use over a Next Generation Internet (NGI). In this form, users at low-cost
workstations, will gain access to the environment by exploiting high-performance network
connections to a remote computational resource hosting the server portion of the application. The
high interactivity requirements of the system are enabled by he QoS capabilities to be provided
by the NGI.
Keywords: Next Generation Internet, Quality of Service, segmentation algorithms,
visualization
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