DocumentCode :
3348542
Title :
A fast discrete transform architecture for Frequency Domain Motion Estimation
Author :
Ismail, Yasser ; McNeely, Jason ; Shaaban, Mohsen ; Al Najjar, Mayssaa ; Bayoumi, Magdy A.
Author_Institution :
Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, Lafayette, LA, USA
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
1249
Lastpage :
1252
Abstract :
Frequency Domain Motion Estimation (FDME) is a recent technique that promises to efficiently reduce the computational complexity of ME process. Related Transformed-Discrete Cosine Transform (RT-DCT) is one of the main modules that build the FDME encoder. The RT-DCT module is responsible for generating four transforms that are required for the ME process in the frequency domain. The main problem of generating such transforms is the low speed of the FDME encoder that prevents its use in real time applications. In this paper an efficient fast RT-DCT architecture is proposed to accelerate the encoding process in the frequency domain. The proposed architecture achieves approximately 58%, 39%, and 50% reductions in gate count, power consumption, and area compared to the conventional state of the art pipelined RT-DCT generators. Implementation and Simulation results project that the proposed RT-DCT architecture, when integrated in a whole FDME system, can perform ME for 60 fps of 4CIF video at 118 MHz.
Keywords :
computational complexity; discrete cosine transforms; motion estimation; computational complexity; discrete transform architecture; frequency domain motion estimation; related transformed-discrete cosine transform; Computer architecture; Discrete cosine transforms; Generators; Lattices; Logic gates; Shift registers; CORDIC; DCT; FDME;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5652335
Filename :
5652335
Link To Document :
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