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− | = | + | =Adaptive Live Video Streaming= |
− | <absHTML> | + | '''Adaptive live streaming''' represents a key advancement with respect to classic progressive download streaming such as the one employed by YouTube. |
− | < | + | With adaptive streaming the video source bit-rate is automatically adapted in real-time to match the time-varying bandwidth available to the user who can experience the maximum quality. |
− | < | + | |
− | + | {{Panel|type=primary|icon=wrench|title=Cisco Award|body= | |
− | < | + | <absHTML><img src="http://www.caronprogram.com/sites/default/files/sponsor_logos/silicon-valley_new_0.gif" alt="Smiley face" width="150" > </img> |
− | < | + | </absHTML> |
− | < | + | <b> Cisco Award 2013 </b> Funded by "Cisco University Research Program" managed by the Silicon Valley Community Foundation. |
− | < | + | <ul> |
− | </ | + | <li>Principal investigator: <b> S. Mascolo </b> </li> |
+ | <li>Title: <b>Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.</b></li> | ||
+ | <li>March 2013</li> | ||
+ | </ul> | ||
+ | }} | ||
+ | {{Panel|type=primary|icon=wrench|title=Best Paper Award|body= | ||
+ | We got the best student paper award at the MMSYS 2016 conference for our work: | ||
+ | <paper authors="G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo" conference="Proc. ACM Mmsys 2016" place="Klagenfurt, Austria" date="May 2016 (Best student paper award)" pdf="network-assistedcontrolcorrected.pdf"> | ||
+ | Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming | ||
+ | </paper> | ||
+ | }} | ||
+ | ==Selected publications== | ||
+ | ===Design of Adaptive Video Streaming control algorithms=== | ||
+ | <paper authors="Luca De Cicco, Giuseppe Cilli, Saverio Mascolo" conference="10th ACM Multimedia Systems Conference (ACM MMSys '19)" date="June 18-21, 2019" place ="Amherst, MA, USA"> | ||
+ | ERUDITE: a Deep Neural Network for Optimal Tuning of Adaptive Video Streaming Controllers | ||
+ | </paper> | ||
+ | |||
+ | <paper authors="Giuseppe Ribezzo, Giuseppe Samela, Luca De Cicco, Vittorio Palmisano, Saverio Mascolo" conference="Proc. ACM Multimedia Systems Conference (ACM MMSYS) - Demo" place="Amsterdam, The Netherlands" date="June 2018"> | ||
+ | A DASH Video Streaming System for Immersive Contents | ||
+ | </paper> | ||
+ | |||
+ | <paper authors="G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo" conference="ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (special issue of Extended Best Paper Candidates of ACM MMSys 2016 and ACM NOSSDAV 2016)" date="March 2017"> | ||
+ | Design and Experimental Evaluation of Network-assisted Control Strategies for HTTP Adaptive Video Streaming | ||
+ | </paper> | ||
+ | |||
+ | <paper authors="L. De Cicco, V. Caldaralo, V. Palmisano, and S. Mascolo" conference="Proc. of Packet Video Workshop 2013" place="San Jose, CA, USA" date="December 2013" pdf="elastic-pv2013.pdf" slides="elastic-slides.pdf"> | ||
+ | ELASTIC: a Client-side Controller for Dynamic Adaptive Streaming over HTTP (DASH) | ||
+ | </paper> | ||
+ | |||
+ | ===Modeling of Adaptive Video Streaming Systems=== | ||
+ | <paper authors="Giuseppe Cofano, Luca De Cicco, Saverio Mascolo" conference="IEEE Transactions on Control of Network Systems" place="vol. 5, no. 1, pp. 548-559, doi: 10.1109/TCNS.2016.2631452" date="March 2018" pdf='tcones-mavscs.pdf'> | ||
+ | Modeling and Design of Adaptive Video Streaming Control Systems | ||
+ | </paper> | ||
+ | |||
+ | <paper authors="Giuseppe Cofano, Luca De Cicco, Saverio Mascolo" conference="Proc. of IEEE Conference on Decision and Control (IEEE CDC 2016)" place="Las Vegas, Nevada, USA" date="Dec 2016" pdf='cdc-16.pdf' slides='cdc-16-slides.pdf'> | ||
+ | A Hybrid Model of Adaptive Video Streaming Control Systems | ||
+ | </paper> | ||
+ | |||
+ | <paper authors="L. De Cicco, G. Cofano, and S. Mascolo" conference="Nonlinear Analysis: Hybrid Systems, Special Issue 'IFAC World | ||
+ | Congress 2014', Elsevier" place="Volume 21, Pages 139–154, DOI 10.1016/j.nahs.2015.12.007" date="August 2016"> | ||
+ | A Hybrid Model of the Akamai Adaptive Streaming Control System | ||
+ | </paper> | ||
+ | |||
+ | <paper authors="L. De Cicco and S. Mascolo" conference="IEEE/ACM Transaction on Networking" date="Volume 22, Issue 2, April 2014" pdf="avs_tnet_decicco_mascolo.pdf" > | ||
+ | An Adaptive Video Streaming Control System: Modeling, Validation, and Performance Evaluation | ||
+ | </paper> | ||
+ | |||
+ | ==Demo== | ||
+ | The following videos are distributed by employing a prototype implementation of the control algorithm described in the paper: | ||
+ | |||
+ | <paper authors="L. De Cicco, V. Caldaralo, V. Palmisano, and S. Mascolo" conference="Proc. of Packet Video Workshop 2013" place="San Jose, CA, USA" date="December 2013" pdf="elastic-pv2013.pdf" slides="elastic-slides.pdf"> | ||
+ | ELASTIC: a Client-side Controller for Dynamic Adaptive Streaming over HTTP (DASH) | ||
+ | </paper> | ||
+ | |||
+ | The video source is adapted by following the stream-switching (or multiple bit-rate) approach: the video source is available at different bit-rates and resolutions and a controller switches from one video version to match the available bandwidth while avoiding playback interruptions and re-buffering events. The figure below shows the architecture of the adaptive video streaming service that we have designed. | ||
+ | |||
+ | [[Immagine:AdaptiveStreamingArchitecture.jpg|center|''Adaptive Streaming Architecture'']] | ||
+ | |||
+ | <br> | ||
+ | <div class="alert alert-warning" role="alert"> | ||
+ | ''Requirements'': | ||
+ | * In order to experience the maximum quality (720p) a dual core 2.4GHz processor or better is recommended. | ||
</div> | </div> | ||
− | < | + | ==Big Buck Bunny (4K) with the ELASTIC Adaptive Streaming algorithm== |
− | < | + | <absHTML> |
− | + | <center> | |
− | + | <iframe width="960" height="540" src="https://quavstreams.quavlive.com/embed/5a5c7933d3c3370019c7312f" frameborder="0" scrolling="no" marginwidth="0" allowfullscreen mozallowfullscreen webkitallowfullscreen oallowfullscreen msallowfullscreen></iframe> | |
− | </ | + | </center> |
</absHTML> | </absHTML> |
Adaptive live streaming represents a key advancement with respect to classic progressive download streaming such as the one employed by YouTube. With adaptive streaming the video source bit-rate is automatically adapted in real-time to match the time-varying bandwidth available to the user who can experience the maximum quality.
Cisco Award 2013 Funded by "Cisco University Research Program" managed by the Silicon Valley Community Foundation.
We got the best student paper award at the MMSYS 2016 conference for our work:
The following videos are distributed by employing a prototype implementation of the control algorithm described in the paper:
The video source is adapted by following the stream-switching (or multiple bit-rate) approach: the video source is available at different bit-rates and resolutions and a controller switches from one video version to match the available bandwidth while avoiding playback interruptions and re-buffering events. The figure below shows the architecture of the adaptive video streaming service that we have designed.
Requirements: