Title :
A novel modular systolic array architecture for full-search block matching motion estimation
Author :
Hangu Yeo ; Hu, Yu Hen
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
Proposes a modular systolic array architecture for the full-search block matching motion estimation algorithm (FBMA). With this novel architecture, the authors are able to generate a motion vector for every reference block in raster scan order while achieving 100% processor utilization and high throughput rate. Furthermore, they devised a scheme to save the pin count (I/O) by sharing memory units. This results in low memory bandwidth. This architecture is scalable in that it can easily be adapted to handle larger search ranges and different block sizes without increasing the effective latency
Keywords :
digital signal processing chips; image matching; motion estimation; parallel algorithms; search problems; systolic arrays; video coding; FBMA; effective latency; full-search block matching motion estimation; memory bandwidth; memory units; modular systolic array architecture; motion vector; pin count; processor utilization; raster scan order; throughput rate; Bandwidth; Computer architecture; Delay; Digital video broadcasting; HDTV; Image communication; Image storage; Motion estimation; Systolic arrays; Throughput;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479691