Progressive imagery with scalable vector graphics

Georg Fuchs; Heidrun Schumann; René Rosenbaum

doi:10.1117/12.871935

17 February 2011 Progressive imagery with scalable vector graphics

Georg Fuchs, Heidrun Schumann, René Rosenbaum

Proceedings Volume 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V; 788108 (2011) https://doi.org/10.1117/12.871935
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

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.

Citation Download Citation

Georg Fuchs, Heidrun Schumann, and René Rosenbaum "Progressive imagery with scalable vector graphics", Proc. SPIE 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 788108 (17 February 2011); https://doi.org/10.1117/12.871935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available