A content-based motion estimation algorithm for power-aware architecture

Abstract

This paper presents a novel power-aware architecture, called the vario-power architecture, for motion estimation. Based on the proposed content-based subsample algorithm, the architecture can operate at different power consumption modes with little quality degradation and the switching of power mode can be done dynamically. As shown in the simulation results, the power consumption can be significantly reduced by simply change the threshold parameters while the quality degradations are little.