Energy-Aware Video Encoding for Image Quality Improvement in Battery-Operated Surveillance Camera

Cited 16 time in webofscience Cited 0 time in scopus
  • Hit : 558
  • Download : 0
Growing needs for surveillance in locations without power lines necessitates the development of a surveillance camera with extremely low-power consumption and an assured stable operation until the time of expected run-out of available energy. This paper proposes an algorithm for scheduling of video encoding configurations in a battery-operated surveillance system to reduce the image distortion while assuring the sustained operation until the battery recharge/exchange. The optimal video encoding configuration is determined based on the amount of estimated remaining event duration (considering the uncertainty of events) and remaining battery charge (considering the rate-capacity and recovery effect). The proposed algorithm consists of two steps: design-time step and run-time step. In the design-time step, prediction of remaining event duration, called duration prediction, is performed considering the uncertainty of events and tradeoff between encoding power and image quality. During run-time, video encoding configuration is switched between intra-frame encoding and inter-frame encoding based on the duration prediction obtained in design-time step and the remaining battery charge measured in run-time step. Compared to the conventional method based on the most conservative duration prediction [5], experimental results show that the proposed method provides 2.24 similar to 3.78 dB improvement in the image quality (in terms of peak signal-to-noise ratio in the H.264 encoding of four video sequences while satisfying the battery constraint.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2012-02
Language
English
Article Type
Article
Keywords

EMBEDDED SYSTEMS; OPTIMIZATION; PERFORMANCE; MODEL

Citation

IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, v.20, no.2, pp.310 - 318

ISSN
1063-8210
DOI
10.1109/TVLSI.2010.2102055
URI
http://hdl.handle.net/10203/97340
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 16 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0