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|Title:||Adaptive coding with CPU energy conservation for mobile video calls|
|Keywords:||dynamic frequency scaling|
mobile video calls
|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. https://doi.org/10.1109/ICME.2012.78|
|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|
|Appears in Collections:||Staff Publications|
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