ESVD: An Integrated Energy Scalable Framework for Low-Power Video Decoding Systems
1 Institute of Computing Technology, CAS, Beijing 100190, China
2 Department of Electrical and Computer Engineering, University of British Columbia, vancouver, BC, Canada, V6T 1Z4
3 Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 234131, China
EURASIP Journal on Wireless Communications and Networking 2010, 2010:234131 doi:10.1155/2010/234131Published: 30 June 2010
Video applications using mobile wireless devices are a challenging task due to the limited capacity of batteries. The higher complex functionality of video decoding needs high resource requirements. Thus, power efficient control has become more critical design with devices integrating complex video processing techniques. Previous works on power efficient control in video decoding systems often aim at the low complexity design and not explicitly consider the scalable impact of subfunctions in decoding process, and seldom consider the relationship with the features of compressed video date. This paper is dedicated to developing an energy-scalable video decoding (ESVD) strategy for energy-limited mobile terminals. First, ESVE can dynamically adapt the variable energy resources due to the device aware technique. Second, ESVD combines the decoder control with decoded data, through classifying the data into different partition profiles according to its characteristics. Third, it introduces utility theoretical analysis during the resource allocation process, so as to maximize the resource utilization. Finally, it adapts the energy resource as different energy budget and generates the scalable video decoding output under energy-limited systems. Experimental results demonstrate the efficiency of the proposed approach.