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Content-aware energy prediction for video streaming in mobile devices

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4 Author(s)
Yi-Chan Li ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Hisu-Hsien Li ; Han-Lin Li ; Chia-Lin Yang

As personal multimedia devices become mainstream consumer products, an energy-aware on-demand video streaming system for portable devices is critical. A critical component of an energy-aware video streaming system is an accurate energy prediction scheme for video decoding. In this paper, we propose the first content-aware energy predictor for video playback. We correlate video attributes with decoding energy through linear regression. The average prediction error achieved by proposed content-aware energy prediction scheme is only 1.88%.

Published in:

VLSI Design, Automation and Test, 2009. VLSI-DAT '09. International Symposium on

Date of Conference:

28-30 April 2009

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