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23 September 2014 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
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Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 92170P (2014) https://doi.org/10.1117/12.2062475
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States
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.
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Donghun Kang, Jungeon Lee, Jongpil Jung, Chul-Hee Lee, and Chong-Min Kyung "Energy minimization of mobile video devices with a hardware H.264/AVC encoder based on energy-rate-distortion optimization", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170P (23 September 2014); https://doi.org/10.1117/12.2062475
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KEYWORDS
Computer programming
Distortion
Video
Detection and tracking algorithms
Video compression
Systems modeling
Mobile devices
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