Content-driven adaptive computation offloading for energy-aware hybrid distributed video coding

Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hybrid Distributed Video Coding (Hybrid-DVC) is an emerging compression paradigm for resource-constrained embedded devices, like wireless video sensor nodes. This paper presents a low-overhead energy-aware Hybrid-DVC with an adaptive computation offloading scheme. Our scheme offloads the workload of multiple video encoding devices concurrently to a high-end decoder device to minimize the overall system energy under constraints of compute capabilities. It leverages video content knowledge to determine regions in the video frames that are offloaded to the remote decoder device. It jointly minimizes the transmission and communication energy and provides a high video quality. Our scheme provides up to 39% energy savings compared to state-of-the-art Hybrid-DVC schemes.

Original languageEnglish (US)
Title of host publicationProceedings of the International Symposium on Low Power Electronics and Design, ISLPED 2013
Pages106-113
Number of pages8
DOIs
StatePublished - 2013
Event2013 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2013 - Beijing, China
Duration: Sep 4 2013Sep 6 2013

Publication series

NameProceedings of the International Symposium on Low Power Electronics and Design
ISSN (Print)1533-4678

Conference

Conference2013 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2013
CountryChina
CityBeijing
Period9/4/139/6/13

ASJC Scopus subject areas

  • Engineering(all)

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