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A context-aware framework for reducing bandwidth usage of mobile video chats

  • Xin Qi
  • , Qing Yang
  • , David T. Nguyen
  • , Ge Peng
  • , Gang Zhou
  • , Bo Dai
  • , Daqing Zhang
  • , Yantao Li
  • VMware, Inc
  • College of William and Mary
  • College of Computing
  • Peking University
  • Southwest University

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Mobile video chat apps offer users an approachable way to communicate with others. As high-speed 4G networks are being deployed worldwide, the number of mobile video chat app users increases. However, video chatting on mobile devices brings users financial concerns, since streaming video demands high bandwidth and can use up a large amount of data in dozens of minutes. Lowering the bandwidth usage of mobile video chats is challenging since video quality may be compromised. In this paper, we attempt to tame this challenge. Technically, we propose a context-aware frame rate adaption framework, named low-bandwidth video chat (LBVC). It follows a sender-receiver cooperative principle that smartly handles the tradeoff between lowering bandwidth usage and maintaining video quality. We implement LBVC by modifying an open-source app-Linphone- and evaluate it with both objective experiments and subjective studies.

Original languageEnglish
Article number7478066
Pages (from-to)1640-1649
Number of pages10
JournalIEEE Transactions on Multimedia
Volume18
Issue number8
DOIs
Publication statusPublished - 1 Aug 2016
Externally publishedYes

Keywords

  • Bandwidth reduction
  • context awareness
  • frame interpolation
  • frame rate adaption
  • mobile video chats

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