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Title: Adaptive coding with CPU energy conservation for mobile video calls
Authors: Ma, H.
Zimmermann, R. 
Keywords: dynamic frequency scaling
mobile video calls
video coding
workload adaptation
Issue Date: 2012
Citation: Ma, H.,Zimmermann, R. (2012). Adaptive coding with CPU energy conservation for mobile video calls. Proceedings - IEEE International Conference on Multimedia and Expo : 717-722. ScholarBank@NUS Repository.
Abstract: Video calling incurs very high power consumption on mobile platforms usually powered by capacity-constrained batteries. To remedy this problem, we develop a cross-layer energy-aware optimization framework to reduce CPU energy consumption for mobile video calls. We explore the texture similarity between neighboring macro blocks during H.264 coding and control the quality-complexity tradeoff with a single self-adaptive parameter. Dynamic Voltage and Frequency Scaling (DVFS) is then applied to reduce energy consumption and guarantee the stringent one-way delay in real-time applications. Experimental results show that considerable CPU energy saving is achieved while a high Quality of Service (QoS) is preserved for user satisfaction. © 2012 IEEE.
Source Title: Proceedings - IEEE International Conference on Multimedia and Expo
ISSN: 19457871
DOI: 10.1109/ICME.2012.78
Appears in Collections:Staff Publications

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