DocumentCode
580484
Title
A high performance and low energy intra prediction hardware for HEVC video decoding
Author
Kalali, Ercan ; Adibelli, Yusuf ; Hamzaoglu, Ilker
Author_Institution
Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey
fYear
2012
fDate
23-25 Oct. 2012
Firstpage
1
Lastpage
8
Abstract
Intra prediction algorithm in the recently developed High Efficiency Video Coding (HEVC) standard has very high computational complexity. Therefore, in this paper, we propose novel techniques for reducing amount of computations performed by intra prediction algorithm in HEVC decoder, and therefore reducing energy consumption of intra prediction hardware in HEVC decoder. The proposed techniques significantly reduce the amount of computations performed by 4×4 and 8×8 luminance prediction modes with a small comparison overhead without any PSNR and bit rate loss. We also designed and implemented a high performance intra prediction hardware for 4×4 and 8×8 angular prediction modes including the proposed techniques for HEVC video decoding using Verilog HDL, and mapped it to a Xilinx Virtex 6 FPGA. The proposed techniques significantly reduce the energy consumption of the proposed hardware on this FPGA.
Keywords
brightness; computational complexity; decoding; energy consumption; field programmable gate arrays; hardware description languages; video coding; HEVC decoder; HEVC video decoding; PSNR; Verilog HDL; Xilinx Virtex 6 FPGA; angular prediction modes; bit rate loss; computational complexity; energy consumption; high efficiency video coding standard; high performance intraprediction hardware; intraprediction algorithm; low energy intraprediction hardware; luminance prediction modes; Arrays; Decoding; Equations; Hardware; Mathematical model; Prediction algorithms; Standards; FPGA; HEVC; Hardware Implementation; Intra Prediction; Low Energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Design and Architectures for Signal and Image Processing (DASIP), 2012 Conference on
Conference_Location
Karlsruhe
Print_ISBN
978-1-4673-2089-4
Electronic_ISBN
978-2-9539987-4-0
Type
conf
Filename
6385353
Link To Document