DocumentCode :
579374
Title :
On Low Power Fractional Motion Estimation Algorithms for H.264
Author :
Ogunfunmi, Tokunbo ; Ndili, O. ; Arnaudov, P.
Author_Institution :
Dept. of Electr. Eng., Santa Clara Univ., Santa Clara, CA, USA
fYear :
2012
fDate :
17-19 Oct. 2012
Firstpage :
103
Lastpage :
108
Abstract :
Motion estimation in H.264/AVC, is done in two parts - integer-pel motion estimation, and fractional-pel motion estimation. In the past, we have proposed new algorithms and architectures for integer-pel motion estimation. In this paper, we propose an efficient, low power algorithm and its co-designed VLSI architecture for fractional-pel motion estimation in H.264/AVC. We use a simplified FIR filter for half-pel interpolation. Usage of this filter reduces the required number of computations and the memory size and bandwidth for half-pel interpolation. Simulations are used to compare our algorithm with the state-of-the-art, in terms of rate-distortion performance and computational complexity. Our results show that our algorithm on average has better rate-distortion performance, compared to previous state-of-the-art fractional-pel ME algorithms, while its performance is comparable to fractional-pel ME in H.264/AVC.
Keywords :
FIR filters; VLSI; computational complexity; field programmable gate arrays; interpolation; low-power electronics; motion estimation; rate distortion theory; video coding; FIR filter; FPGA; H.264/AVC; codesigned VLSI architecture; computational complexity; fractional-pel ME algorithm; fractional-pel motion estimation; half-pel interpolation; integer-pel motion estimation; low power fractional motion estimation algorithm; memory size; rate-distortion performance; Algorithm design and analysis; Computer architecture; Finite impulse response filter; Interpolation; Motion estimation; Signal processing algorithms; Video coding; FPGA; H.264; Motion Estimation; Video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (SiPS), 2012 IEEE Workshop on
Conference_Location :
Quebec City, QC
ISSN :
2162-3562
Print_ISBN :
978-1-4673-2986-6
Type :
conf
DOI :
10.1109/SiPS.2012.64
Filename :
6365522
Link To Document :
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