By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Younghoon Lee ; Software Platform Lab., LG Electron., Seoul, South Korea ; Jungsoo Kim ; Chong-Min Kyung

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 , experimental results show that the proposed method provides 2.24~3.78 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.

Published in:

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on  (Volume:20 ,  Issue: 2 )