Adaptive bitrate selection: A survey

Y Sani, A Mauthe, C Edwards - IEEE Communications Surveys …, 2017 - ieeexplore.ieee.org
HTTP adaptive streaming (HAS) is the most recent attempt regarding video quality
adaptation. It enables cheap and easy to implement streaming technology without the need …

Transcoding live adaptive video streams at a massive scale in the cloud

R Aparicio-Pardo, K Pires, A Blanc… - Proceedings of the 6th …, 2015 - dl.acm.org
More and more users are watching online videos produced by non-professional sources
(eg, gamers, teachers of online courses, witnesses of public events) by using an …

Coping with heterogeneous video contributors and viewers in crowdsourced live streaming: A cloud-based approach

Q He, J Liu, C Wang, B Li - IEEE Transactions on Multimedia, 2016 - ieeexplore.ieee.org
With the advances in personal computing devices and the prevalence of broadband network
and wireless mobile network accesses, end-users are no longer pure content consumers …

Dash in twitch: Adaptive bitrate streaming in live game streaming platforms

K Pires, G Simon - Proceedings of the 2014 Workshop on Design …, 2014 - dl.acm.org
Live game streaming platforms such as Twitch allow gamers to broadcast their gameplay
over the Internet. The popularity of these platforms boosts the market of eSport but poses …

Optimal selection of adaptive streaming representations

L Toni, R Aparicio-Pardo, K Pires, G Simon… - ACM Transactions on …, 2015 - dl.acm.org
Adaptive streaming addresses the increasing and heterogeneous demand of multimedia
content over the Internet by offering several encoded versions for each video sequence …

M-Lab: User initiated Internet data for the research community

P Gill, C Diot, LY Ohlsen, M Mathis… - ACM SIGCOMM Computer …, 2022 - dl.acm.org
Measurement Lab (M-Lab) is an open, distributed server platform on which researchers
have deployed measurement tools. Its mission is to measure the Internet, save the data and …

Crowdtranscoding: Online video transcoding with massive viewers

Q He, C Zhang, J Liu - IEEE Transactions on Multimedia, 2017 - ieeexplore.ieee.org
Driven by the advances in personal computing devices and the prevalence of high-speed
network accesses, crowdsourced livecast platforms have emerged in recent years, through …

Machine learning based rate adaptation with elastic feature selection for HTTP-based streaming

YL Chien, KCJ Lin, MS Chen - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Dynamic Adaptive Streaming over HTTP (DASH) has become an emerging application
nowadays. Video rate adaptation is a key to determine the video quality of HTTP-based …

Analysis of YouTube's traffic adaptation to dynamic environments

J Añorga, S Arrizabalaga, B Sedano, J Goya… - Multimedia Tools and …, 2018 - Springer
Abstract The popular Internet service, YouTube, has adopted by default the HyperText
Markup Language version 5 (HTML5). With this adoption, YouTube has moved to Dynamic …

Use of machine learning for rate adaptation in MPEG-DASH for quality of experience improvement

IR Alzahrani, N Ramzan, S Katsigiannis… - … Symposium on Data …, 2018 - Springer
Dynamic adaptive video streaming over HTTP (DASH) has been developed as one of the
most suitable technologies for the transmission of live and on-demand audio and video …