@inproceedings{6a5ee373edcb4fe7b8db98624bfa10ba,
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}",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; Applications of Digital Image Processing XXXVII ; Conference date: 18-08-2014 Through 21-08-2014",
year = "2014",
doi = "10.1117/12.2062475",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, {Andrew G.}",
booktitle = "Applications of Digital Image Processing XXXVII",
address = "United States",
}