QoE-enhanced adaptation algorithm over DASH for multimedia streaming

Dongeun Suh, Insun Jang, Sangheon Pack

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

18 Citations (Scopus)


In dynamic adaptive streaming over HTTP (DASH), a client consecutively estimates the available network bandwidth and decides the transmission rate for the forthcoming video chunks to be downloaded. Even though several enhancements to DASH have been reported in the literature, they do not well-investigate the current buffer status to cope with fluctuating network conditions and thus do not achieve seamless video streaming. In this paper, we propose a novel rate adaptation algorithm called quality of experience (QoE)-enhanced adaptation algorithm over DASH (QAAD), which preserves the minimum buffer length to avoid interruption and minimizes the video quality changes during the playback. We implemented a DASH testbed and conducted extensive experiments. Experimental results demonstrate that under fluctuating network conditions, QAAD provides seamless streaming with stabilized video quality while the previous buffer-aware algorithm (i.e., QoE-aware DASH) frequently changes the video quality and undergoes the interruption.

Original languageEnglish
Title of host publicationInternational Conference on Information Networking 2014, ICOIN 2014
PublisherIEEE Computer Society
Number of pages5
ISBN (Print)9781479936892
Publication statusPublished - 2014
Event2014 28th International Conference on Information Networking, ICOIN 2014 - Phuket, Thailand
Duration: 2014 Feb 102014 Feb 12

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684


Other2014 28th International Conference on Information Networking, ICOIN 2014

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems


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