(Una versione intermedia di uno stesso utente non è mostrata) | |||
Riga 16: | Riga 16: | ||
{{Panel|type=primary|icon=wrench|title=Best Paper Award|body= | {{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: | 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"> | |
− | G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo | ||
Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming | Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming | ||
− | + | </paper> | |
}} | }} | ||
==Selected publications== | ==Selected publications== | ||
===Design of Adaptive Video Streaming control algorithms=== | ===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 | + | <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 | ERUDITE: a Deep Neural Network for Optimal Tuning of Adaptive Video Streaming Controllers | ||
</paper> | </paper> |
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:
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:
G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming
Proc. ACM Mmsys 2016, Klagenfurt, Austria, May 2016 (PDF)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: