Computation offloading for mobile sign language video encoding Online publication date: Mon, 20-Apr-2020
by Xiaolei Chen; Jianan Gao; Aihua Zhang; Ce Li
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 18, No. 3, 2020
Abstract: Mobile sign language video encoding is a kind of application that has high computation complexity. When using this application on battery powered mobile devices, there is conflict between computation complexity of encoder and energy limitation of mobile devices. In this paper, we propose a novel computation offloading method for mobile sign language video encoding. The method utilises sufficient cloud resources for Regions Of Interest (ROI) based sign language video encoding, which is the most computation-intensive part of the whole computation offloading system. With the method, a mobile device only consumes a small portion of energy to perform other parts of the offloading system. The theoretical analysis and experimental results both demonstrate that the proposed method can reduce the processing time and energy consumption of mobile devices.
Online publication date: Mon, 20-Apr-2020
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org