Monthly Archives: October 2023

Machine Learning Based Resource Utilization Prediction in the Computing Continuum

IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks 6–8 November 2023 | Edinburgh, Scotland Conference Website [PDF][Slides] Christian Bauer (Alpen-Adria-Universität Klagenfurt), Narges Mehran (Alpen-Adria-Universität Klagenfurt), Radu Prodan (Alpen-Adria-Universität Klagenfurt) and Dragi Kimovski (Alpen-Adria-Universität Klagenfurt) … Continue reading →

Posted in GAIA | Comments Off on Machine Learning Based Resource Utilization Prediction in the Computing Continuum

Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video Streaming Quality

The 19th International Conference on emerging Networking EXperiments and Technologies December 5-8, 2023 | Paris, France [PDF] [PPT] [PPT (Artifacts)] Leonardo Peroni (IMDEA Networks Institute and UC3M), Sergey Gorinsky (IMDEA Networks Institute), Farzad Tashtarian (AAU, Austria), and Christian Timmerer (AAU, Austria). … Continue reading →

Posted in ATHENA | Comments Off on Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video Streaming Quality

IEEE Access: Characterization of the Quality of Experience and Immersion of Point Cloud Videos in Augmented Reality through a Subjective Study

IEEE Access, A Multidisciplinary, Open-access Journal of the IEEE [PDF] Minh Nguyen (Alpen-Adria-Universität Klagenfurt, Austria), Shivi Vats (Alpen-Adria-Universität Klagenfurt, Austria), Sam Van Damme (Ghent University – imec and KU Leuven, Belgium), Jeroen van der Hooft (Ghent University – imec, Belgium), Maria Torres … Continue reading →

Posted in SPIRIT | Comments Off on IEEE Access: Characterization of the Quality of Experience and Immersion of Point Cloud Videos in Augmented Reality through a Subjective Study

Video Coding Enhancements for HTTP Adaptive Streaming using Machine Learning

Klagenfurt, June 7, 2023 Congratulations to Dr. Ekrem Çetinkaya for successfully defending his dissertation on “Video Coding Enhancements for HTTP Adaptive Streaming using Machine Learning” at Universität Klagenfurt in the context of the Christian Doppler Laboratory ATHENA. Abstract Video is … Continue reading →

Posted in ATHENA | Comments Off on Video Coding Enhancements for HTTP Adaptive Streaming using Machine Learning

Multi-access Edge Computing for Adaptive Video Streaming

Klagenfurt, July 10, 2023 Congratulations to Dr. Jesús Aguilar Armijo for successfully defending his dissertation on “Multi-access Edge Computing for Adaptive Video Streaming” at Universität Klagenfurt in the context of the Christian Doppler Laboratory ATHENA. Abstract Over the last recent … Continue reading →

Posted in ATHENA | Comments Off on Multi-access Edge Computing for Adaptive Video Streaming

Optimizing QoE and Latency of Live Video Streaming Using Edge Computing and In-Network Intelligence

Klagenfurt, May 25, 2023 Congratulations to Dr. Alireza Erfanian for successfully defending his dissertation on “Optimizing QoE and Latency of Video Streaming using Edge Computing and In-Network Intelligence” at Universität Klagenfurt in the context of the Christian Doppler Laboratory ATHENA. … Continue reading →

Posted in ATHENA | Comments Off on Optimizing QoE and Latency of Live Video Streaming Using Edge Computing and In-Network Intelligence

Policy-driven Dynamic HTTP Adaptive Streaming Player Environment

Klagenfurt, June 30, 2023 Congratulations to Dr. Minh Nguyen for successfully defending his dissertation on “Policy-driven Dynamic HTTP Adaptive Streaming Player Environment” at Universität Klagenfurt in the context of the Christian Doppler Laboratory ATHENA. Abstract In the last decades, video … Continue reading →

Posted in ATHENA | Comments Off on Policy-driven Dynamic HTTP Adaptive Streaming Player Environment