Energy-aware video streaming with QoS control for portable computing devices
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
GRACE-1: Cross-Layer Adaptation for Multimedia Quality and Battery Energy
IEEE Transactions on Mobile Computing
Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications
Proceedings of the 45th annual Design Automation Conference
3-tier dynamically adaptive power-aware motion estimator for h.264/AVC video encoding
Proceedings of the 13th international symposium on Low power electronics and design
Achieving viewing time scalability in mobile video streaming using scalable video coding
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
ESVD: an integrated energy scalable framework for low-power video decoding systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
Journal of Network and Computer Applications
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High energy consumption has become a challenge for multimedia applications on mobile platforms. We propose a cross layer framework that integrates complexity adaptation and energy conservation for mobile video calls. First we select the most utility-aware encoding and decoding parameters for videos of different motion levels through extensive offline profiling and analysis. Then we design a feedback algorithm to adaptively apply different coding parameters while monitoring the system performance online during a video call. To minimize energy consumption, we utilize Dynamic Voltage and Frequency Scaling (DVFS) for the CPU and buffered transmissions for the network. Our experimental results show an effective saving on energy consumption, with on average 52% savings on the CPU and 30% on the wireless network, while still maintaining high quality service.