A vario-power ME architecture using content-based subsample algorithm

Hsien Wen Cheng*, Lan-Rong Dung

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

The Motion estimator is a key element in many video compression systems and it tends to dominate the power consumption in them. With increasing demand of portable, power-aware multimedia devices, an architecture that can be flexible in both power consumption and compression quality is essential. To meet this requirement, this paper presents a novel power-aware architecture, called the Vario-Power Architecture, for the motion estimation. Based on a semi-systolic array with the content-based subsample algorithm, the architecture real-time disables some processing elements to reduce power consumption. By performing the edge extraction first, a threshold is then set as the criterion of whether to enable or disable processing elements and thus the switch activities of the system can be reduced. As the simulation shows, the architecture may operate at different power consumption modes according to the remaining capacity of the battery pack giving little quality degradation and the power overhead under 0.36%.

Original languageEnglish
Pages (from-to)349-354
Number of pages6
JournalIEEE Transactions on Consumer Electronics
Volume50
Issue number1
DOIs
StatePublished - 1 Feb 2004

Keywords

  • Motion estimation
  • Power-aware architecture
  • Subsample
  • Video compression
  • VLSI architecture

Fingerprint Dive into the research topics of 'A vario-power ME architecture using content-based subsample algorithm'. Together they form a unique fingerprint.

  • Cite this