Title :
32-Parallel SAD Tree Hardwired Engine for Variable Block Size Motion Estimation in HDTV1080P Real-Time Encoding Application
Author :
Liu, Zhenyu ; Song, Yang ; Shao, Ming ; Li, Shen ; Li, Lingfeng ; Goto, Satoshi ; Ikenaga, Takeshi
Author_Institution :
IPS, Waseda University, N355, 2-7, Hibikino, Wakamatsu, Kitakyushu, 808-0135, Japan
Abstract :
H.264/AVC coding standard incorporates variable block size (VBS) motion estimation (ME) to improve the compression efficiency. For HDTV-1080p application, the massive computation and huge memory bandwidth by the large video frame size and the wide search range are two critical impediments to the real-time hardwired VB-SME engine design. In this paper, we present six techniques to circumvent these difficulties. First, the inter modes bellow 8 à 8 are eliminated in our design to reduce the hardware cost. Second, the low-pass filter based 4:1 down-sampling algorithm successfully reduces about 75% arithmetic computation in each search position. Third, the coarse to fine search scheme is made use of to reduce 25%-50% search candidates. Fourth, C+ memory organization is adopted to reduce the external IO bandwidth. Fifth, horizontal zigzag scan mode optimizes the search window memories. Finally, in circuit design, 4:2 compressor based CSA tree, multi-cycle path delay and 2 pipeline stage SAD tree techniques are utilized to improve the speed and reduce the hardware of each SAD tree. The hardwired integer motion estimation (IME) engine with 192 à 128 search range for HDTVl080p@30Hz is demonstrated in this paper. With TSMC 0.18¿m 1P6M CMOS technology, it is implemented with 485.7k gates standard cells and 327.68k bit on chip memories. The power dissipation is 729mw at 200MHz clock speed.
Keywords :
Automatic voltage control; Bandwidth; CMOS technology; Computer applications; Encoding; Engines; Hardware; Impedance; Motion estimation; Video compression; H.264/AVC; HDTV1080p; VLSI; integer motion estimation; variable block size;
Conference_Titel :
Signal Processing Systems, 2007 IEEE Workshop on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-1222-8
Electronic_ISBN :
1520-6130
DOI :
10.1109/SIPS.2007.4387630