DocumentCode
2256389
Title
Hardware-assisted syntax decoding model for software AVC/H.264 decoders
Author
Wu, Ming-Ju ; Chen, Yi-Tseng ; Tsai, Chun-Jen
Author_Institution
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2009
fDate
24-27 May 2009
Firstpage
1233
Lastpage
1236
Abstract
In this paper, we have proposed an efficient hardware-assisted syntax decoding model for software-based video decoder. The proposed syntax decoding model is a generic model for different video codec standards. The syntax decoding process is divided into codec-dependent high-level syntax parser and generic entropy decoding engines. Currently, the design is implemented specifically for the support of AVC/H.264 standard (for both CAVLC and CABAC acceleration). Nevertheless, the design of the proposed syntax decoding model has the potential of becoming the design of a flexible bitstream parser, which is the most challenging problem in the MPEG reconfigurable video coding (RVC) Framework. A Virtex-5 FPGA development board is used to implement and verify the full hardware-software system (including the hardware entropy engines and the software syntax parser and macroblock data reconstruction modules extracted from JM12.2).
Keywords
computational linguistics; decoding; entropy codes; field programmable gate arrays; grammars; video coding; MPEG reconfigurable video coding; Virtex-5 FPGA development board; codec-dependent high-level syntax parser; generic entropy decoding engines; hardware entropy engines; hardware-assisted syntax decoding model; hardware-software system; macroblock data reconstruction modules; software AVC-H.264 decoders; software syntax parser; video codec standards; Acceleration; Automatic voltage control; Code standards; Decoding; Engines; Entropy; Field programmable gate arrays; Hardware; Video codecs; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4244-3827-3
Electronic_ISBN
978-1-4244-3828-0
Type
conf
DOI
10.1109/ISCAS.2009.5117985
Filename
5117985
Link To Document