Computation and transmission energy modeling through profiling for MPEG4 video transmission
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Cross-layer QoS support for multimedia delivery over wireless internet
EURASIP Journal on Applied Signal Processing
Complexity-constrained H.264 video encoding
IEEE Transactions on Circuits and Systems for Video Technology
Statistical framework for video decoding complexity modeling and prediction
IEEE Transactions on Circuits and Systems for Video Technology
Joint source-hannel distortion modeling for MPEG-4 video
IEEE Transactions on Image Processing
Power and distortion optimization for pervasive video coding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Multimedia
Unequal power allocation for JPEG transmission over MIMO systems
IEEE Transactions on Image Processing
A novel energy-minimized optimization algorithm for mobile image transmission
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Energy efficient video transmission over fast fading channels
EURASIP Journal on Wireless Communications and Networking
Power-Aware rate control for mobile multimedia communications
ADHOC-NOW'06 Proceedings of the 5th international conference on Ad-Hoc, Mobile, and Wireless Networks
Unequal Error Protection Based on DVFS for JSCD in Low-Power Portable Multimedia Systems
ACM Transactions on Embedded Computing Systems (TECS)
Power consumption analysis of constant bit rate video transmission over 3G networks
Computer Communications
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Video communication over wireless links using handheld devices is a challenging task due to the time-varying characteristics of the wireless channels and limited battery resources. Rate-distortion (RD) analysis plays a key role in video coding and communication systems, and usually the RD relation does not assume any power constraint. We investigate the relations of rate, distortion and power consumption. Based on those relations, we propose a power-minimized bit-allocation scheme considering the processing power, for source coding and channel coding, jointly with the transmission power. The total bits are allocated between source and channel coders, according to wireless channel conditions and video quality requirements, to minimize the total power consumption for a single user and a group of users in a cell, respectively. Simulation results show that our proposed joint power-control and bit-allocation scheme achieves high power savings compared to the conventional scheme