A quality driven adaptation scheme for DASH streaming

Colin Bailey, Xiao-Hong Peng

Research output: Chapter in Book/Published conference outputConference publication


In this work we present a quality driven approach to DASH (Dynamic Adaptive Streaming over HTTP) for segment selection in varying network conditions. Current adaption algorithms focus largely on regulating data rates using network layer parameters by selecting the level of quality on offer that can eliminate buffer underrun without considering picture fidelity. In reality, viewers may accept a level of buffer underrun in order to achieve an improved level of picture fidelity. In this case, the conventional DASH algorithms can cause extreme degradation of the picture fidelity when attempting to eliminate buffer underrun with scarce bandwidth availability. Our work is concerned with a quality-aware rate adaption scheme that maximizes the client's quality of experience in terms of both continuity and fidelity (picture quality). Results show that the scheme proposed can maintain a high level of quality for streaming services, especially at low packet loss rates. It is also shown that by eliminating buffer underrun completely, the PSNR that reflects the picture quality of the video is greatly reduced. Our scheme offers the offset between continuity-based quality and resolution-based quality, which can be used to set threshold values for the level of quality desired by clients with different quality requirements.

Original languageEnglish
Title of host publication8th international ICST conference on Communications and networking in China (CHINACOM)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ (US)
Number of pages6
ISBN (Print)978-1-4799-1406-7
Publication statusPublished - 2013
Event8th international ICST conference on Communications and networking in China - Guilin, China
Duration: 14 Aug 201316 Aug 2013


Conference8th international ICST conference on Communications and networking in China
Abbreviated titleCHINACOM 2013


  • pause intensity
  • quality of experience
  • rate adaptation
  • video streaming


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