Title :
Bandwidth and local memory reduction of video encoders using Bit Plane Partitioning Memory Management
Author :
Liu, Yi-Nung ; Chuang, Meng-Che ; Chien, Shao-Yi
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
This paper presents a new memory management scheme for the reference frame buffer in a video encoder. The proposed BPPMM (bit plane partitioning memory management) scheme changes the format of data, and hence we can access different number of the bit-planes of the pixel data on-demand. This BPPMM technique is especially suitable for motion estimation with bit-truncation. Experiments show that when BPPMM scheme is integrated in an H.264 hardware encoder, more than 46% of local SRAM size and 31% of the external memory bandwidth could be reduced with only a little quality degradation.
Keywords :
SRAM chips; video coding; H.264 hardware encoder; SRAM size; bandwidth-local memory reduction; bit plane partitioning memory management; motion estimation; pixel data on-demand; quality degradation; video encoders; Bandwidth; Engineering management; Filters; Hardware; Memory management; Motion estimation; Partitioning algorithms; Random access memory; SDRAM; Video coding;
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
DOI :
10.1109/ISCAS.2009.5117861