Title :
Reducing energy dissipation of video memory by adaptive bit-width compression
Author :
Moshnyaga, Vasily G.
Author_Institution :
Dept. of Electron. Eng. & Comput. Sci., Fukuoka Univ., Japan
Abstract :
A new architectural technique to reduce the energy dissipation of video memory is proposed. Unlike existing approaches, the technique exploits the pixel correlation in video sequences, dynamically adjusting the memory bit-width to the number of bits changed per pixel. Instead of treating the data bits independently, we group the most significant bits together, activating the corresponding group of bit-lines adaptively to data variation. The method is not restricted to the specific bit-patterns nor depends on the storage phase. It works equally well on read and write accesses, as well as during precharging. Simulation results show that using this method we can reduce the total energy consumption of frame memory by 20% without affecting the picture quality.
Keywords :
adaptive signal processing; circuit CAD; circuit simulation; data compression; image sequences; logic CAD; logic simulation; low-power electronics; memory architecture; optical correlation; storage management; video coding; adaptive bit-width compression; bit-patterns; changed pixel bits; data variation; energy consumption reduction; group bit-lines; memory architecture; memory bit-width dynamic adjustment; most significant pixel bit grouping; picture quality; precharging; read/write accesses; storage phase; video encoding system frame memory; video memory energy dissipation reduction; video sequence pixel correlation; Computer science; Encoding; Energy consumption; Energy dissipation; Hardware; Image reconstruction; Motion estimation; Power engineering and energy; Random access memory; Video compression;
Conference_Titel :
Electronics, Circuits and Systems, 2002. 9th International Conference on
Print_ISBN :
0-7803-7596-3
DOI :
10.1109/ICECS.2002.1046303