Compression of 2D Navigation Views with Rotational and Translational Motion

Springer D, Simmet F, Niederkorn D, Kaup A (2012)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Book Volume: 8305

Article Number: 83050X

Event location: San Francisco, CA US

ISBN: 9780819489524

DOI: 10.1117/12.911990

Abstract

In-car navigation systems have grown in complexity over the recent years, most notably in terms of route calculation, usability and graphical rendering. In order to guarantee correct system behavior, navigation systems need to be tested under real operating conditions, i.e. with field-tests on the road. In this paper, we will focus on a fast compression solution for 2D navigation renderings, so that field-tests can be archived and handed over to software engineers for subsequent evaluation. No parameters from the rendering procedure are available since access to the system is limited to the raw display signal. Rotation is a dominant factor throughout all navigation sequences, so we show how to reconstruct rotational motion parameters with high accuracy and develop a Global Motion Estimation (GME) method as support for a subsequent H.264/AVC video encoder. By integrating ratedistortion optimization concepts into our scheme, we can efficiently omit the segmentation of static and non-static areas. The runtime of the compression solution, which achieves bitrate savings of up to 19.5%, is evaluated both on a laptop CPU and an embedded OMAP4430 system on chip. © 2012 SPIE-IS&T.

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How to cite

APA:

Springer, D., Simmet, F., Niederkorn, D., & Kaup, A. (2012). Compression of 2D Navigation Views with Rotational and Translational Motion. In Proceedings of the Visual Information Processing and Communication III. San Francisco, CA, US.

MLA:

Springer, Dominic, et al. "Compression of 2D Navigation Views with Rotational and Translational Motion." Proceedings of the Visual Information Processing and Communication III, San Francisco, CA 2012.

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