A Video Bitrate Adaptation Algorithm for DASH-Based Multimedia Streaming Services to Enhance User QoE 


Vol. 39,  No. 6, pp. 341-349, Jun.  2014


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  Abstract

Dynamic adaptive streaming over HTTP (DASH)is the most recent and promising technology to support high quality streaming services. 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. 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 test bed 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., QDASH[9]) frequently changes the video quality and undergoes the interruption.

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  Cite this article

[IEEE Style]

D. Suh, I. Jang, S. Pack, "A Video Bitrate Adaptation Algorithm for DASH-Based Multimedia Streaming Services to Enhance User QoE," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 6, pp. 341-349, 2014. DOI: .

[ACM Style]

Dongeun Suh, Insun Jang, and Sangheon Pack. 2014. A Video Bitrate Adaptation Algorithm for DASH-Based Multimedia Streaming Services to Enhance User QoE. The Journal of Korean Institute of Communications and Information Sciences, 39, 6, (2014), 341-349. DOI: .

[KICS Style]

Dongeun Suh, Insun Jang, Sangheon Pack, "A Video Bitrate Adaptation Algorithm for DASH-Based Multimedia Streaming Services to Enhance User QoE," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 6, pp. 341-349, 6. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880