Category Archives: ATHENA

ISM’20: Dynamic Segment Repackaging at the Edge for HTTP Adaptive Streaming

Posted on October 8, 2020 by

Dynamic Segment Repackaging at the Edge for HTTP Adaptive Streaming IEEE International Symposium on Multimedia (ISM) 2-4 December 2020, Naples, Italy https://www.ieee-ism.org/ [PDF][Slides][Video] Jesús Aguilar Armijo (Alpen-Adria-Universität Klagenfurt), Babak Taraghi (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), and Hermann Hellwagner (Alpen-Adria-Universität Klagenfurt) … Continue reading →

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PCS’21 Special Session: Video encoding for large scale HAS deployments

Posted on October 5, 2020 by

Picture Coding Symposium (PCS) 29 June to 2 July 2021, Bristol, UK Session organizers: Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria), Mohammad Ghanbari (University of Essex, UK), and Alex Giladi (Comcast, USA). Abstract: Video accounts for the vast majority of today’s internet … Continue reading →

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IEEE Communication Magazine: From Capturing to Rendering: Volumetric Media Delivery With Six Degrees of Freedom

Posted on September 22, 2020 by

From Capturing to Rendering: Volumetric Media Delivery With Six Degrees of Freedom Teaser: “Help me, Obi-Wan Kenobi. You’re my only hope,” said the hologram of Princess Leia in Star Wars: Episode IV – A New Hope (1977). This was the … Continue reading →

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MTAP paper: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods

Posted on September 15, 2020 by

MTAP paper: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods Multimedia tools and applications (Springer Journal) [PDF] Prateek Agrawal (University of Klagenfurt, Austria), Deepak Chaudhary (Lovely Professional University, India), Vishu Madaan (Lovely professional University, India), Anatoliy Zabrovskiy … 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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Interns at the ATHENA Christian Doppler Laboratory

Posted on August 13, 2020 by

In July 2020, the ATHENA Christian Doppler Laboratory hosted three interns working on the following topics: Indira Pal: Quality of Experience for HTTP Adaptive Streaming based use cases and scenarios. Ilja Pronegg: Machine learning methods for HTTP Adaptive Streaming. Miriam … Continue reading →

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Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC

Posted on August 10, 2020 by

Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ’20) August 10 – 14, 2020 | New York, USA [PDF][Slides][Video] Minh Nguyen (AAU, Austria), Hadi Amirpour … Continue reading →

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