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

doi:10.1117/12.2062475

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Applications of Digital Image Processing XXXVII
Editors	Andrew G. Tescher
Publisher	SPIE
ISBN (Electronic)	9781628412444
DOIs	https://doi.org/10.1117/12.2062475
Publication status	Published - 2014
Event	Applications of Digital Image Processing XXXVII - San Diego, United States Duration: 2014 Aug 18 → 2014 Aug 21

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9217
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	Applications of Digital Image Processing XXXVII
Country/Territory	United States
City	San Diego
Period	14/8/18 → 14/8/21

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1117/12.2062475

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

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.",

author = "Donghun Kang and Jungeon Lee and Jongpil Jung and Lee, {Chul Hee} and Kyung, {Chong Min}",

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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 proceeding › Conference contribution

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AB - 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.

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

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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