DocumentCode :
1844651
Title :
High efficiency architecture of escot with pass concurrent context modeling scheme for scalable video coding
Author :
Chiang, Jen-Shiun ; Hwang, Ting-Hao ; Lin, Tsung-Ta ; Hsia, Chih-Hsien
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Taipei
fYear :
2008
fDate :
18-21 May 2008
Firstpage :
2801
Lastpage :
2804
Abstract :
In this work, we propose a high efficiency hardware architecture of embedded sub-band coding with optimal truncation (ESCOT) with pass concurrent context modeling (PCCM) scheme for wavelet-based scalable video coding (SVC). PCCM can merge the three-pass process of bit-plane coding into a single pass process. It improves the efficiency of the ESCOT algorithm and reduces the frequencies of memory access, which can reduce the power consumption. Furthermore we use the parallel architecture scheme of PCCM to encode 4 samples concurrently, which improves the operation speed and can reduce 40% of internal memory requirement. We use Artison TSMC 0.18 mum 1P6M standard cell library to design and implement the proposed concurrent context modeling. The simulation results indicate that PCCM can have an operation speedup of 9.5 compared to the standard context modeling of ESCOT, and it can operate for 1080 p with frame rate of 30 fps at clock rate of 125 MHz.
Keywords :
embedded systems; parallel architectures; video coding; wavelet transforms; Artison TSMC; ESCOT algorithm; bit-plane coding; embedded sub-band coding; hardware architecture; internal memory requirement; memory access; optimal truncation; parallel architecture scheme; pass concurrent context modeling scheme; power consumption; wavelet-based scalable video coding; Context modeling; Discrete wavelet transforms; Encoding; Entropy coding; Hardware; Static VAr compensators; Video coding; Video compression; Video sequences; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
Type :
conf
DOI :
10.1109/ISCAS.2008.4542039
Filename :
4542039
Link To Document :
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