Low Energy Motion Estimation Architecture using Energy Management Algorithm 


Vol. 30,  No. 8, pp. 793-800, Aug.  2005


PDF
  Abstract

Computation of multimedia data increases in portable devices with the advances of the mobile and personal communication services. The energy management of such devices is very important for the battery-powered operation hours. The motion estimation in a video encoder requires huge amount of computation, and hence, consumes the largest portion of the energy consumption. In this paper, we propose a novel architecture that a low energy management scheme can be applied with several fast-search algorithms. The energy-constrained Vdd hopping(ECVH) technique reduces power consumption of the motion estimation by adaptively changing the search algorithm, the operating frequency, and the supply voltage using the remaining slack time within given power-budget. We show that the ECVH can be applied to the architecture, and that the power consumption can be efficiently reduced.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

E. Kim and C. Lee, "Low Energy Motion Estimation Architecture using Energy Management Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 8, pp. 793-800, 2005. DOI: .

[ACM Style]

Eung-sup Kim and Chanho Lee. 2005. Low Energy Motion Estimation Architecture using Energy Management Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 30, 8, (2005), 793-800. DOI: .

[KICS Style]

Eung-sup Kim and Chanho Lee, "Low Energy Motion Estimation Architecture using Energy Management Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 8, pp. 793-800, 8. 2005.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880