Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization

Donghun Kang, Jungeon Lee, Jongpil Jung, Chul Hee Lee, Chong Min Kyung

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In mobile video systems powered by battery, reducing the encoder's compression energy consumption is critical to prolong its lifetime. Previous Energy-rate-distortion (E-R-D) optimization methods based on a software codec is not suitable for practical mobile camera systems because the energy consumption is too large and encoding rate is too low. In this paper, we propose an E-R-D model for the hardware codec based on the gate-level simulation framework to measure the switching activity and the energy consumption. From the proposed E-R-D model, an energy minimizing algorithm for mobile video camera sensor have been developed with the GOP(Group of Pictures) size and QP(Quantization Parameter) as run-time control variables. Our experimental results show that the proposed algorithm provides up to 31.76% of energy consumption saving while satisfying the rate and distortion constraints.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVII
EditorsAndrew G. Tescher
ISBN (Electronic)9781628412444
Publication statusPublished - 2014
EventApplications of Digital Image Processing XXXVII - San Diego, United States
Duration: 2014 Aug 182014 Aug 21

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherApplications of Digital Image Processing XXXVII
Country/TerritoryUnited States
CitySan Diego

Bibliographical note

Publisher Copyright:
© 2014 SPIE.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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