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

Abstract

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
PublisherSPIE
ISBN (Electronic)9781628412444
DOIs
Publication statusPublished - 2014 Jan 1
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
Volume9217
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherApplications of Digital Image Processing XXXVII
CountryUnited States
CitySan Diego
Period14/8/1814/8/21

Fingerprint

Rate-distortion Optimization
Energy Optimization
Energy Minimization
coders
Encoder
Energy Consumption
energy consumption
hardware
Energy utilization
Hardware
optimization
Rate-distortion
Energy
Camera
cameras
energy
Simulation Framework
Video cameras
Battery
Optimization Methods

All Science Journal Classification (ASJC) codes

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

Cite this

Kang, D., Lee, J., Jung, J., Lee, C. H., & Kyung, C. M. (2014). Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization. In A. G. Tescher (Ed.), Applications of Digital Image Processing XXXVII [92170P] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9217). SPIE. https://doi.org/10.1117/12.2062475
Kang, Donghun ; Lee, Jungeon ; Jung, Jongpil ; Lee, Chul Hee ; Kyung, Chong Min. / Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization. Applications of Digital Image Processing XXXVII. editor / Andrew G. Tescher. SPIE, 2014. (Proceedings of SPIE - The International Society for Optical Engineering).
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Kang, D, Lee, J, Jung, J, Lee, CH & Kyung, CM 2014, Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization. in AG Tescher (ed.), Applications of Digital Image Processing XXXVII., 92170P, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9217, SPIE, Applications of Digital Image Processing XXXVII, San Diego, United States, 14/8/18. https://doi.org/10.1117/12.2062475

Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization. / Kang, Donghun; Lee, Jungeon; Jung, Jongpil; Lee, Chul Hee; Kyung, Chong Min.

Applications of Digital Image Processing XXXVII. ed. / Andrew G. Tescher. SPIE, 2014. 92170P (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9217).

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

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Kang D, Lee J, Jung J, Lee CH, Kyung CM. Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization. In Tescher AG, editor, Applications of Digital Image Processing XXXVII. SPIE. 2014. 92170P. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2062475