By Topic

Adaptive Techniques for Simultaneous Optimization of Visual Quality and Battery Power in Video Encoding Sensors

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
$33 $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)
Yongfang Liang ; Department of Computer Science and Engineering, University of Texas, Arlington, TX 76019 ; Ishfaq Ahmad ; Xiaohui Wei

This paper addresses the issues of how to efficiently manage the power consumption while preserving high quality performance for video coding in futuristic pervasive computing environments. We formulate an optimization problem that corresponds to minimize both the power consumption and video distortion. A joint rate-complexity-distortion (R-C-D) model is developed to describe and control the general R-C-D behavior of video coding. The model facilitates to develop effective schemes based on the analysis of the optimization problem in order to achieve good video quality while maximizing the battery service life. We perform simulations on an instruction set simulator to demonstrate the effectiveness of the proposed schemes.

Published in:

2006 International Conference on Image Processing

Date of Conference:

8-11 Oct. 2006