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 | |
| Publication status | Published - 2014 Jan 1 |
| 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 | United States |
| City | San Diego |
| Period | 14/8/18 → 14/8/21 |
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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
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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
TY - GEN
T1 - Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-Rate-Distortion optimization
AU - Kang, Donghun
AU - Lee, Jungeon
AU - Jung, Jongpil
AU - Lee, Chul Hee
AU - Kyung, Chong Min
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
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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UR - http://www.scopus.com/inward/citedby.url?scp=84922758365&partnerID=8YFLogxK
U2 - 10.1117/12.2062475
DO - 10.1117/12.2062475
M3 - Conference contribution
AN - SCOPUS:84922758365
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Applications of Digital Image Processing XXXVII
A2 - Tescher, Andrew G.
PB - SPIE
ER -