DocumentCode :
546895
Title :
The effect of image compression on automotive optical flow algorithms
Author :
Forster, Julian ; Jiang, Xin ; Terzis, Anestis ; Rothermel, Albrecht
Author_Institution :
Dept. Environ. Perception., Daimler AG, Ulm, Germany
fYear :
2011
fDate :
23-24 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
Advantageous interconnections of automotive cameras and electronic control units are possible by using IP based technology within the vehicles. Automotive implementation of this kind of technology enables limited data rates. Camera streams have to be compressed for the transmission over such a medium. The image processing algorithms can be applied after a decompression of the camera streams. In this paper we propose a method to compare the effect of different image compression algorithms on the optical flow. It comprises a metric, based on a nearest neighbour method, to compare optical flow fields.
Keywords :
IP networks; automobiles; cameras; data compression; driver information systems; image coding; image sequences; IP based technology; automotive cameras; automotive driver assistance systems; automotive optical flow algorithms; camera stream decompression; electronic control units; image compression effect; image processing algorithms; nearest neighbour method; Adaptive optics; Automotive engineering; Cameras; Image coding; Optical imaging; Pixel; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Media Technology (CEMT), 2011 14th ITG Conference on
Conference_Location :
Dortmund
Print_ISBN :
978-1-4577-1269-2
Electronic_ISBN :
978-3-00-033964-6
Type :
conf
Filename :
5936555
Link To Document :
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