KEYWORDS: Visualization, Raster graphics, Image quality, Mobile communications, Image transmission, Logic, Image compression, Computer programming, Data communications, Chemical elements
Vector graphics can be scaled without loss of quality, making them suitable for mobile image communication
where a given graphics must be typically represented in high quality for a wide range of screen resolutions. One
problem is that file size increases rapidly as content becomes more detailed, which can reduce response times
and efficiency in mobile settings. Analog issues for large raster imagery have been overcome using progressive
refinement schemes. Similar ideas have already been applied to vector graphics, but an implementation that is
compliant to a major and widely adopted standard is still missing. In this publication we show how to provide
progressive refinement schemes based on the extendable Scalable Vector Graphics (SVG) standard. We propose
two strategies: decomposition of the original SVG and incremental transmission using (1) several linked files and
(2) element-wise streaming of a single file. The publication discusses how both strategies are employed in mobile
image communication scenarios where the user can interactively define RoIs for prioritized image communication,
and reports initial results we obtained from a prototypically implemented client/server setup.
Maintaining and repairing complex technical facilities such as
generating plants requires comprehensive knowledge on subsystems,
operational and safety procedures by the technician. Upgrades to
the facility may mean that knowledge about these becomes outdated,
raising the need for documentation at the working site. Today's
commonplace availability of mobile devices motivates the use of
digital, interactive manuals over printed ones. Such applications
should provide high-quality illustrations and interaction
techniques tailored for specific tasks, while at the same time
allow flexible deployment of these components on a multitude of
(mobile) hardware platforms. This includes the integration of
multimodal interaction facilities like speech recognition into the
user interface. To meet these demands, we propose a model-based
approach that combines task, object and dialog models to specify
platform-independent user interfaces. New concepts like relating
tasks to domain objects and dialog views allow us to generate
abstract canonical prototypes. Another focus is on the necessary
adaptation of visual representations to the platform capabilities
to remain effective and adequate, requiring tight coupling of the
underlying model, the visualization, and alternative input/output
modes. The above aspects have been addressed in a prototype for
air-condition unit maintenance, presented on the CeBIT 2005 fair.
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