DocumentCode :
3117029
Title :
FPGA dynamic reconfiguration using the RVC technology: Inverse quantization case study
Author :
Hentati, Manel ; Aoudni, Yassine ; Nezan, Jean-François ; Abid, Mohamed ; Deforges, Olivier
Author_Institution :
IETR, INSA, Rennes, France
fYear :
2011
fDate :
2-4 Nov. 2011
Firstpage :
1
Lastpage :
7
Abstract :
With the rapid evolution of technology, the latest FPGA architectures such as Virtex series of Xilinx introduced a new feature called Dynamic Partial Reconfiguration (DPR). This technique allows designer to configure a portion of the FPGA while other parts continue to run on the same FPGA. The design of an embedded system based on the DPR functionality is still complex and tedious. The MPEG consortium proposes the Reconfigurable Video Coding (RVC) technology. RVC provides a high level description of video decoders described as a set of interconnected Functional Units. This paper studies the use of the RVC technology for the specification of an application and the design of a system based on the DPR functionality. In this paper, we study the Inverse Quantization (IQ) algorithm of an MPEG-4 decoder and how to switch between the MPEG-2 and the H263 IQ algorithms using RVC and DPR. This simple and concrete case study highlights the DPR restrictions to take into account in MPEG RVC description in order to use the DPR.
Keywords :
embedded systems; field programmable gate arrays; quantisation (signal); video codecs; video coding; FPGA; H263 IQ algorithms; MPEG-2; MPEG-4 decoder; RVC technology; dynamic partial reconfiguration; embedded system; field programmable gate arrays; interconnected functional units; inverse quantization; reconfigurable video coding; video decoders; Algorithm design and analysis; Computer architecture; Decoding; Field programmable gate arrays; Hardware; Quantization; Transform coding; Dynamic Partial Reconfiguration; FPGA; Inverse Quantization; MPEG-RVC; RVC framwork; RVC-CAL language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on
Conference_Location :
Tampere
Print_ISBN :
978-1-4577-0620-2
Electronic_ISBN :
978-1-4577-0619-6
Type :
conf
DOI :
10.1109/DASIP.2011.6136863
Filename :
6136863
Link To Document :
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