ESVD: an integrated energy scalable framework for low-power video decoding systems

  • Authors:

  • Wen Ji;Min Chen;Xiaohu Ge;Peng Li;Yiqiang Chen

  • Affiliations:

  • Institute of Computing Technology, CAS, Beijing, China;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China;Institute of Computing Technology, CAS, Beijing, China;Institute of Computing Technology, CAS, Beijing, China

  • Venue:
  • EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

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 energyscalable 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.