Category Archives: ATHENA

LwTE-Live: Light-weight Transcoding at the Edge for Live Streaming

Posted on November 2, 2021 by

The 1st ACM CoNEXT Workshop on Design, Deployment, and Evaluation of Network-assisted  video Streaming (ViSNext 2021) Conference Website [PDF][Slides][Video] Alireza Erfanian (Alpen-Adria-Universität Klagenfurt), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Farzad Tashtarian (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), and Hermann Hellwagner (Alpen-Adria-Universität Klagenfurt) Abstract: Live video … Continue reading →

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ANGELA: HTTP Adaptive Streaming and Edge Computing Simulator

Posted on October 27, 2021 by

ANGELA: HTTP Adaptive Streaming and Edge Computing Simulator *** 2nd Best Paper Award *** The 10th IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN) Conference Website [PDF][Slides][Video] Jesús Aguilar Armijo (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität … Continue reading →

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Days of Future Past: An Optimization-based Adaptive Bitrate Algorithm over HTTP/3

Posted on October 21, 2021 by

The ACM CoNEXT 2021 Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ) 07 December 2021  | Munich, Germany (Online) [PDF][Slides][Video] Daniele Lorenzi (University of Padua), Minh Nguyen (AAU, Austria), Farzad Tashtarian (AAU, Austria), Simone Milani (University of Padua), Herman Hellwagner … Continue reading →

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Farzad Tashtarian to give a talk at the University of Isfahan, Isfahan, Iran

Posted on October 5, 2021 by

Farzad Tashtarian is invited to talk on “Network-Assisted Video Streaming” at the University of Isfahan, Isfahan, Iran.

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Best Doctoral Symposium Paper Award at ACM MMSys 2021

Posted on October 4, 2021 by

Ekrem Çetinkaya got the Best Doctoral Symposium Paper Award at ACM MMSys 2021 for his paper titled “Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming”. More information about the paper can be found in the blog post.

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FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

Posted on September 29, 2021 by

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning 30th IEEE Conference of the Open Innovations Association FRUCT 27-29 October 2021 https://www.fruct.org/ [PDF][Slides][Video] Anatoliy Zabrovskiy, Prateek Agrawal, Christian Timmerer, and Radu Prodan Abstract: HTTP adaptive video streaming is … Continue reading →

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FaRes-ML paper is Nominated for the Best New Streaming Innovation Award in the Streaming Media Readers’ Choice Awards 2021

Posted on September 21, 2021 by

The Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning paper from ATHENA lab is nominated for the Best New Streaming Innovation Award in the Streaming Media Readers’ Choice Awards 2021. Voting can be done on the awards’ website. The voting … Continue reading →

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