DocumentCode :
116637
Title :
A highly-parallel approach on motion estimation for high efficiency video coding (HEVC)
Author :
Radicke, Stefan ; Hahn, Juergen ; Grecos, Christos ; Wang, Qijie
Author_Institution :
Stuttgart Media Univ., Stuttgart, Germany
fYear :
2014
fDate :
10-13 Jan. 2014
Firstpage :
187
Lastpage :
188
Abstract :
The new High Efficiency Video Coding (HEVC) standard will most likely be used in many applications in the near future. However, the encoding process is extremely complex and hence very time consuming. We propose a hybrid encoding architecture, which uses a Graphics Processing Unit (GPU) to perform uni-predictive Motion Estimation (ME) in a highly-parallel manner. This results in notable time savings of up to 57.41% for high definition video sequences, while the Rate Distortion (RD) performance is only insignificantly affected.
Keywords :
graphics processing units; image sequences; motion estimation; parallel processing; video coding; GPU; HEVC standard; ME; RD; encoding process; graphics processing unit; high definition video sequences; high efficiency video coding; highly-parallel approach; hybrid encoding architecture; rate distortion performance; unipredictive motion estimation; Central Processing Unit; Computer architecture; Encoding; Graphics processing units; Motion estimation; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4799-1290-2
Type :
conf
DOI :
10.1109/ICCE.2014.6775965
Filename :
6775965
Link To Document :
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