DocumentCode :
2246201
Title :
Enhanced Partial Distortion Sorting Fast Motion Estimation Algorithm for Low-Power Applications
Author :
Song, Yang ; Ikenaga, Takeshi ; Goto, Satoshi ; Liu, Zhenyu
Author_Institution :
Waseda Univ., Kitakyushu
fYear :
2006
fDate :
4-7 Dec. 2006
Firstpage :
1236
Lastpage :
1239
Abstract :
This paper presents an enhanced partial distortion sorting (EPDS) fast motion estimation (ME) algorithm which is based on the previous partial distortion sorting (PDS) algorithm. Different to PDS which has fixed parameters, in the EPDS algorithm, these parameters are adaptively adjusted to further reduce the computation complexity. Experiments show that the proposed EPDS algorithm has almost the same image quality as PDS but with 30.72% computation reduction. The PDS and EPDS are both realized in 1D systolic array, under the worst working conditions (1.62V, 125degC) and 166MHz clock frequency, compared with PDS algorithm, the proposed EPDS algorithm can reduce 15.75% power consumption with 0.75K gates hardware increase
Keywords :
distortion; image processing; low-power electronics; motion estimation; systolic arrays; 1.62 V; 125 C; 166 MHz; 1D systolic array; fast motion estimation; low-power applications; parameter adaptive adjustment; partial distortion sorting; Clocks; Employee welfare; Energy consumption; Frequency; Hardware; Image quality; Motion estimation; Sorting; Systolic arrays; Video coding; motion estimation; partial distortion sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0387-1
Type :
conf
DOI :
10.1109/APCCAS.2006.342386
Filename :
4145623
Link To Document :
بازگشت