DocumentCode :
1876673
Title :
Complexity modeling of H.264 entropy decoding
Author :
Ma, Zhan ; Zhang, Zhongbo ; Wang, Yao
Author_Institution :
Dept. of ECE, Polytech. Univ., Brooklyn, NY
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2784
Lastpage :
2787
Abstract :
This paper models the complexity consumption of entropy decoding in a H.264 decoder, which includes many modes such as fix-length code (FLC), variable-length code (Exp-Golomb code in particular), content-adaptive variable length code (CAVLC) and content-adaptive binary arithmetic code (CABAC). By analyzing the computations involved in different entropy decoding modes, we derive a complexity model that relates the total complexity with the total bit rate and slice mode (I or P or B). The model is shown to be very accurate when compared with the measured complexity in a PC running the H.264 decoder.
Keywords :
code standards; data compression; decoding; entropy codes; video coding; H.264 entropy decoding mode; computational complexity model; Arithmetic; Automatic voltage control; Bit rate; Decoding; Encoding; Entropy; Frequency estimation; Power supplies; Resource management; Static VAr compensators; Complexity modeling; H.264; binary arithmetic decoding; variable length decoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4712372
Filename :
4712372
Link To Document :
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