Spiral search based fast rotation estimation for efficient HEVC compression of navigation video sequences

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Springer D, Frank M, Simmet F, Niederkorn D, Kaup A
Publisher: IEEE Computer Society
Publication year: 2013
Pages range: 201-204
ISBN: 9781479902941


Abstract


During the development and testing of navigation systems for modern cars, the video streams of the systems-under-test are carefully observed for errors of any kind. While this observation is typically carried out manually by software engineers monitoring the video output, the complexity and variety of the latest navigation systems demand an automated analysis of system functionality. Recently published work on automated error detection for navigation systems [1] can only enfold its full functionality if video sequences can be recorded and compressed in real-time, so that the full test program can be run under lab conditions after recording. However, the rotational motion of these sequences makes efficient compression a difficult task. In this paper, we present a fast and efficient method for rotation estimation, so that rotational motion compensation and thus efficient encoding can take place. Compared to existing state of the art approaches for SIFT- or SURF-based global motion estimation, our scheme requires 1/16th of the original processing time while providing almost identical quality gains of up to 2.5dB. © 2013 IEEE.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Springer, D., Frank, M., Simmet, F., Niederkorn, D., & Kaup, A. (2013). Spiral search based fast rotation estimation for efficient HEVC compression of navigation video sequences. (pp. 201-204). San Jose, CA, US: IEEE Computer Society.

MLA:
Springer, Dominic, et al. "Spiral search based fast rotation estimation for efficient HEVC compression of navigation video sequences." Proceedings of the 2013 Picture Coding Symposium, PCS 2013, San Jose, CA IEEE Computer Society, 2013. 201-204.

BibTeX: 

Last updated on 2018-19-04 at 03:34