DocumentCode :
1827413
Title :
A low power VLSI architecture for multistage interval-based motion estimation (MIME) algorithm
Author :
Mahmoud, Hanan ; Goel, Sumeer ; Shaaban, Mohsen ; Darwish, Tarek ; Bayoumi, Magdy
Author_Institution :
Center for Adv. Comput. Studies, Univ. of Louisiana, Lafayette, LA, USA
fYear :
2002
fDate :
14-15 Nov. 2002
Firstpage :
159
Lastpage :
166
Abstract :
We present an algorithmic enhancement of the full-search block-matching algorithm for motion estimation. The proposed algorithm reduces the computational load by successively eliminating noncandidate blocks from the search window. The elimination process uses low bit-resolution blocks and it is applied in two stages for motion vector computation. This computational reduction leads to enhanced performance in terms of low power consumption and fast motion vector estimation. A low power VLSI implementation of the algorithm is also presented. Simulation results show that the new algorithm, at an average, eliminates more than 88% of the candidate blocks in the search window.
Keywords :
VLSI; computational complexity; data compression; function approximation; image matching; image resolution; motion estimation; power consumption; video coding; MIME algorithm; approximate function; computational complexity; full-search block-matching algorithm; low bit-resolution block; low-power VLSI architecture; motion vector computation; multistage interval-based motion estimation; noncandidate block elimination; search window; video compression; Approximation algorithms; Computational modeling; Computer architecture; Energy consumption; Image coding; Motion estimation; Partitioning algorithms; Pixel; Very large scale integration; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital and Computational Video, 2002. DCV 2002. Proceedings. Third International Workshop on
Print_ISBN :
0-7803-7984-5
Type :
conf
DOI :
10.1109/DCV.2002.1218757
Filename :
1218757
Link To Document :
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