
-

-

-

-

-


-


-



Archives
Multimedia Communication- Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey September 9, 2026
- MPEG news: a report from the 155th meeting July 31, 2026
- ACM Mile-High Video 2027: Call for Contributions July 29, 2026
- Call for presentations for ITU-T SG 21 and ISO/IEC JTC 1/SC 29 joint workshop on Media Streaming Services - What’s next May 27, 2026
- MPEG news: a report from the 154th meeting May 15, 2026
- Sustainability in Video Encoding and Streaming March 27, 2026
- MPEG news: a report from the 153rd meeting February 20, 2026
ITEC Homepage- Hadi is the finalist of CASS VSPC Rising Star 2026 Award October 5, 2026
- Talk @ Annual Conference of the Gesellschaft für Fantastikforschung October 5, 2026
- 5 Talks @ Replaying Japan 2026 – Kseniia,Tom October 2, 2026
-
Recent Posts
- 3D Gaussian Splatting Rendering Performance Trade-offs on the Meta Quest 3 September 16, 2026
- Bitrate Ladder Analysis for UHD Adaptive Streaming: From AVC to AV2 September 16, 2026
- Efficient Quality Controller for Video Encoding September 16, 2026
- Cloud, Edge, or Split? Profiling Onboard and Split Vision-Language Model Deployment for Drone AI September 16, 2026
- ATHENA Closing Symposium September 10, 2026
Monthly Archives: August 2020
VCIP’20: FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning
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
Posted in ATHENA
Comments Off on VCIP’20: FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning
Interns at the ATHENA Christian Doppler Laboratory
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
Posted in ATHENA
Comments Off on Interns at the ATHENA Christian Doppler Laboratory
Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC
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
Posted in ATHENA
Comments Off on Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC