ACM NOSSDAV’19 paper on Bandwidth Prediction in Low-Latency Chunked Streaming received Excellence in DASH award at ACM MMSys 2019

Authors: Abdelhak Bentaleb (National University of Singapore), Christian Timmerer (Alpen-Adria Universität & Bitmovin Inc,), Ali C. Begen(Ozyegin University), and Roger Zimmermann (National University of Singapore)

Abstract: HTTP adaptive streaming (HAS) with chunked transfer encoding can be used to reduce latency without sacrificing the coding ef- ficiency. While this allows a media segment to be generated and delivered at the same time, it also causes grossly inaccurate band- width measurements, leading to incorrect bitrate selections. To overcome this effect, we design a novel Adaptive bitrate scheme for Chunked Transfer Encoding (ACTE) that leverages the unique nature of chunk downloads. It uses a sliding window to accurately measure the available bandwidth and an online linear adaptive filter to predict the available bandwidth into the future. Results show that ACTE achieves 96% measurement accuracy, which translates to a 64% reduction in stalls and a 27% increase in video quality.

Links:

– Slides/PDF: https://multimediacommunication.blogspot.com/2019/04/acm-nossdav19-bandwidth-prediction-in.html

– DASH Industry Forum Excellence in DASH Award at ACM MMSys 2019: https://multimediacommunication.blogspot.com/2019/06/dash-if-awarded-excellence-in-dash.html