Abdelhak Bentaleb
Christian Timmerer
Ali C. Begen
Roger Zimmermann
ABSTRACT
HTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, which is critical in reducing the latency, the conventional bitrate adaptation schemes make often grossly inaccurate bandwidth measurements due to the presence of idle periods between the chunks. These wrong measurements cause the streaming client to make bad adaptation decisions. To this end, we design ACTE, a new bitrate adaptation scheme that leverages the unique nature of chunk downloads. ACTE uses a sliding window to accurately measure the available bandwidth and an online linear adaptive filter to predict the bandwidth into the future. Results show that ACTE achieves 96% measurement accuracy, which translates to a 65% reduction in the number of stalls and a 49% increase in quality of experience on average compared to other schemes.
- 2018. Information technology - Multimedia application format (MPEG-A) - Part 19: Common media application format (CMAF) for segmented media. Standard ISO/IEC 23000-19:2018. International Organization for Standardization and International Electrotechnical Commission, Geneva, CH. https://www.iso.org/standard/71975.htmlGoogle Scholar
- ACTE Demo. 2019. {Online} Available: http://bit.do/ACTEdemo.Google Scholar
- A. C. Begen and Y. Syed. 2018. Are The Streaming format Wars Over?. In 2018 IEEE International Conference on Multimedia Expo Workshops (ICMEW). 1--4.Google Scholar
- A. Bentaleb, B. Taani, A. C. Begen, C. Timmerer, and R. Zimmermann. 2019. A Survey on Bitrate Adaptation Schemes for Streaming Media over HTTP. IEEE Communications Surveys & Tutorials 21, 1 (2019), 562--585.Google ScholarCross Ref
- N. Bouzakaria, C. Concolato, and J. Le Feuvre. 2014. Overhead and performance of low latency live streaming using MPEG-DASH. In IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications. 92--97.Google Scholar
- DASH Industry Forum (DASH-IF). 2019. dash.js JavaScript Reference Client. https://reference.dashif.org/dash.js/Google Scholar
- A. E. Essaili, T. Lohmar, and M. Ibrahim. 2018. Realization and Evaluation of an End-to-End Low Latency Live DASH System. In 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). 1--5.Google Scholar
- Simon S. Haykin. 2008. Adaptive filter theory. Pearson Education India.Google Scholar
- P. Houzé, E. Mory, G. Texier, and G. Simon. 2016. Applicative-layer multipath for low-latency adaptive live streaming. In 2016 IEEE International Conference on Communications (ICC). 1--7.Google Scholar
- Will L. {n. d.}. Ultra-Low-Latency Streaming Using Chunked-Encoded and Chunked-Transferred CMAF. Akamai White paper. https://www.akamai.com/us/en/multimedia/documents/white-paper/low-latency-streaming-cmaf-whitepaper.pdf Online; accessed 10 January 2019.Google Scholar
- R. Pantos and W. May. 2017. HTTP Live Streaming. RFC 8216. RFC Editor.Google Scholar
- W. Robitza, S. Göring, A. Raake, D. Lindegren, G. Heikkilä, J. Gustafsson, P. List, B. Feiten, U. Wüstenhagen, M.-N. Garcia, K. Yamagishi, and S. Broom. 2018. HTTP Adaptive Streaming QoE Estimation with ITU-T Rec. P. 1203: Open Databases and Software. In Proceedings of the 9th ACM Multimedia Systems Conference (MMSys'18). ACM, New York, NY, USA, 466--471.Google Scholar
- Y. Shuai and T. Herfet. 2018. Towards reduced latency in adaptive live streaming. In 2018 15th IEEE Annual Consumer Communications Networking Conference (CCNC). 1--4.Google Scholar
- I. Sodagar. 2011. The MPEG-DASH Standard for Multimedia Streaming Over the Internet. IEEE MultiMedia 18, 4 (April 2011), 62--67. Google ScholarDigital Library
- K. Spiteri, R. Urgaonkar, and R. K. Sitaraman. 2016. BOLA: Near-optimal bitrate adaptation for online videos. In IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications. 1--9.Google Scholar
- V. Swaminathan and S. Wei. 2011. Low latency live video streaming using HTTP chunked encoding. In 2011 IEEE 13th International Workshop on Multimedia Signal Processing. 1--6.Google Scholar
- J. Van Der Hooft, S. Petrangeli, T. Wauters, R. Huysegems, T. Bostoen, and F. De Turck. 2018. An HTTP/2 Push-Based Approach for Low-Latency Live Streaming with Super-Short Segments. Journal of Network and Systems Management 26, 1 (Jan. 2018), 51--78. Google ScholarDigital Library
- X. Yin, A. Jindal, V. Sekar, and B. Sinopoli. 2015. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP. SIGCOMM Comput. Commun. Rev. 45, 4 (Aug. 2015), 325--338. Google ScholarDigital Library
Index Terms
- Bandwidth prediction in low-latency chunked streaming
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