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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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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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Interns at the ATHENA (Summer 2021)

Posted on August 25, 2021 by

In July 2021, the ATHENA Christian Doppler Laboratory hosted three interns working on the following topics: Kassian Fuger: Machine Learning and Video Encoding for HTTP Adaptive Streaming Timo Pfeifer: HTTP Adaptive Streaming for Mobile Devices Vanessa Fröhlich: Machine Learning and … Continue reading →

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CTU Depth Decision Algorithms for HEVC: A Survey

Posted on August 12, 2021 by

Signal Processing: Image Communication [PDF] Ekrem Çetinkaya* (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Hadi Amirpour*, (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Mohammad Ghanbari (Christian Doppler Laboratory ATHENA, University of Essex),  and Christian Timmerer (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt) *These authors contributed equally … Continue reading →

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ATHENA Papers Accepted at ACM MMSys’21 Doctoral Symposium

Posted on July 28, 2021 by

ACM Multimedia Systems Conference (MMSys) 2021 | Doctoral Symposium September 28 – October 01, 2021 | Istanbul, Turkey Conference Website Information about the individual papers can be found below. CDN and SDN Support and Player Interaction for HTTP Adaptive Video … Continue reading →

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IEEE OJ-SP: Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning

Posted on May 4, 2021 by

Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning IEEE Open Journal of Signal Processing https://signalprocessingsociety.org/publications-resources/ieee-open-journal-signal-processing [PDF] Ekrem Çetinkaya (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Hadi Amirpour, (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Christian Doppler … Continue reading →

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VCIP’20: FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning

Posted on August 31, 2020 by

FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning IEEE International Conference on Visual Communications and Image Processing (VCIP) 1-4 December 2020, Macau http://www.vcip2020.org/ [PDF][Slides][Video] Ekrem Çetinkaya (Alpen-Adria-Universität Klagenfurt), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), and Mohammad … Continue reading →

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