DocumentCode :
3400968
Title :
High performance hardware architectures for the inverse Rotational Transform of the emerging HEVC standard
Author :
Vianna, Henrique ; Sanchez, Gustavo ; Porto, Marcelo ; Agostini, Luciano
Author_Institution :
Group of Archit. & Integrated Circuits, Fed. Univ. of Pelotas, Pelotas, Brazil
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
189
Lastpage :
192
Abstract :
This paper presents a dedicated hardware architecture for the Rotational Transform (ROT), which is one of the novel tools proposed for the emergent HEVC video coding standard. The main goal of this coding tool is to achieve higher energy compaction of the main transform coefficient matrix, minimizing the quantization error and improving the efficiency of the entropy encoding. Five versions of this architecture were implemented, using either a fully combinational structure or a pipeline with nine stages. The designed architectures were described in VHDL and synthesized for an Altera Stratix III FPGA. The synthesis results show that all versions can process very high resolution videos, such as QFHD, in real time. The version with the highest processing rate achieved a maximum operation frequency of 260.15 MHz. This architecture reaches a processing rate of 2.08 billion samples per second, allowing it to process UHDTV videos in real time.
Keywords :
field programmable gate arrays; hardware description languages; logic design; matrix algebra; quantisation (signal); transforms; video coding; Altera Stratix III FPGA; HEVC video coding standard; QFHD; ROT; UHDTV video processing; VHDL; coding tool; energy compaction; entropy encoding efficiency improvement; frequency 260.15 MHz; high performance hardware architectures; inverse rotational transform; main transform coefficient matrix; quantization error minimization; very high resolution videos; Adders; Field programmable gate arrays; Hardware; Registers; Streaming media; Transforms; Video coding; FPGA Based Design; HEVC; Rotational Transform; Video Coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6466827
Filename :
6466827
Link To Document :
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