Towards Energy-Efficient Adaptive Mpeg-Dash Streaming Using Hevc

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Green networking and communications have become important factors in nowadays energy-hungry video transmission, where users expect to gain high-quality video regardless of time and place. Modern processors, displays and high-speed mobile networks already enable high-definition video streaming to mobile devices that can decode and playback the stream successfully while still maintaining the device capacity for other tasks. However, user mobility and network congestion can affect even the best machinery and introduce the need for HTTP adaptive streaming, which has popularized among content providers. Still, its optimal utilization especially in terms of energy-efficiency is slightly investigated issue. In this paper, we tackle this issue and evaluate both the content production (headend) as well mobile user (terminal) energy consumption against different adaptation methods considering CPU vs. GPU based approaches. The results indicate that frame rate adaptation provides the lowest consumption in both ends and usage of GPUs can lead to further savings.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5386-4195-8, 978-1-5386-4194-1
ISBN (Print)978-1-5386-4196-5
DOIs
Publication statusPublished - 29 Nov 2018
MoE publication typeNot Eligible
EventIEEE International Conference on Multimedia and Expo, ICMEW - San Diego, United States
Duration: 23 Jul 201827 Jul 2018

Conference

ConferenceIEEE International Conference on Multimedia and Expo, ICMEW
Abbreviated titleICMEW
CountryUnited States
CitySan Diego
Period23/07/1827/07/18

Keywords

  • Energy consumption
  • HEVC
  • MPEG-DASH
  • Adaptive streaming

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