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 |
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Title of host publication | Applications of Digital Image Processing XXXVII |
Editors | Andrew G. Tescher |
Publisher | SPIE |
ISBN (Electronic) | 9781628412444 |
DOIs | |
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 |
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Volume | 9217 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Other
Other | Applications of Digital Image Processing XXXVII |
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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