Please use this identifier to cite or link to this item: https://doi.org/10.1145/2072298.2072002
DC FieldValue
dc.titleEnergy-aware complexity adaptation for mobile video calls
dc.contributor.authorMa, H.
dc.contributor.authorGangadharan, D.
dc.contributor.authorVenkatasubramanian, N.
dc.contributor.authorZimmermann, R.
dc.date.accessioned2013-07-04T08:34:26Z
dc.date.available2013-07-04T08:34:26Z
dc.date.issued2011
dc.identifier.citationMa, H.,Gangadharan, D.,Venkatasubramanian, N.,Zimmermann, R. (2011). Energy-aware complexity adaptation for mobile video calls. MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops : 1313-1316. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/2072298.2072002" target="_blank">https://doi.org/10.1145/2072298.2072002</a>
dc.identifier.isbn9781450306164
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41732
dc.description.abstractHigh energy consumption has become a challenge for multi-media applications on mobile platforms. We propose a cross layer framework that integrates complexity adaptation and energy conservation for mobile video calls. First we select the most utility-aware encoding and decoding parameters for videos of different motion levels through extensive offline profiling and analysis. Then we design a feedback algorithm to adaptively apply different coding parameters while monitoring the system performance online during a video call. To minimize energy consumption, we utilize Dynamic Voltage and Frequency Scaling (DVFS) for the CPU and buffered transmissions for the network. Our experimental results show an effective saving on energy consumption, with on average 52% savings on the CPU and 30% on the wireless network, while still maintaining high quality service. Copyright 2011 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2072298.2072002
dc.sourceScopus
dc.subjectAdaptation
dc.subjectEnergy-use optimization
dc.subjectMobile video calls
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1145/2072298.2072002
dc.description.sourcetitleMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
dc.description.page1313-1316
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

151
checked on Jul 9, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.