Power and distortion optimization for pervasive video coding

  • Authors:
  • Yongfang Liang;Ishfaq Ahmad

  • Affiliations:
  • Magnum Semiconductor, Milpitas, CA;Computer Science and Engineering Department, University of Texas, Arlington, TX

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2009

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Abstract

This paper addresses the problem of how to efficiently manage the power consumption while preserving high visual quality performance in video coding for pervasive video applications. We define an optimization problem that corresponds to the minimization of both the power consumption and video distortion of a video encoder. A joint rate-complexity-distortion (R-C-D) model is developed to capture and control the general R-C-D behavior of video coding. Based on the analysis of the proposed model, optimization strategies are developed to achieve good video quality while maximizing the battery service life. We demonstrate how the observations and optimization strategies can be utilized in a practical parameterized encoder under various preferences of quality and power. We perform simulations on an instruction set simulator to exhibit the effectiveness of the proposed scheme.