Sensing multimedia contexts on mobile devices

Mohammad A. Hoque, Ashwin Rao, Abhishek Kumar, Mostafa Ammar, Pan Hui, Sasu Tarkoma

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

4 Citations (Scopus)

Abstract

We use various multimedia applications on smart devices to consume multimedia content, to communicate with our peers, and to broadcast our events live. This paper investigates the utilization of different media input/output devices, e.g., camera, microphone, and speaker, by different types of multimedia applications, and introduces the notion of multimedia context. Our measurements lead to a sensing algorithm called MediaSense, which senses the states of multiple I/O devices and identifies eleven multimedia contexts of a mobile device in real time. The algorithm distinguishes stored content playback from streaming, live broadcasting from local recording, and conversational multimedia sessions from GSM/VoLTE calls on mobile devices.

Original languageEnglish
Title of host publicationNOSSDAV 2020 - Proceedings of the 2020 Workshop on Network and Operating System Support for Digital Audio and Video, Part of MMSys 2020
PublisherAssociation for Computing Machinery
Pages40-46
Number of pages7
ISBN (Electronic)9781450379458
DOIs
Publication statusPublished - 10 Jun 2020
Externally publishedYes
Event30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2020, Part of MMSys 2020 - Istanbul, Turkey
Duration: 10 Jun 202011 Jun 2020

Publication series

NameNOSSDAV 2020 - Proceedings of the 2020 Workshop on Network and Operating System Support for Digital Audio and Video, Part of MMSys 2020

Conference

Conference30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2020, Part of MMSys 2020
Country/TerritoryTurkey
CityIstanbul
Period10/06/2011/06/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

  • Live streaming
  • Multimedia context
  • Network management
  • Sensor fusion
  • Traffic classification
  • Virtual reality
  • Voice over IP

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