Entries by martina

Paper accepted – ETPS: Efficient Two-pass Encoding Scheme for Adaptive Live Streaming

2022 IEEE International Conference on Image Processing (ICIP) October 16-19, 2022 | Bordeaux, France Conference Website [Video] Vignesh V Menon (Alpen-Adria-Universität Klagenfurt),  Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Mohammad Ghanbari (School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt) Abstract: In two-pass encoding, also known as multi-pass encoding, the input video content is analyzed in […]

Paper accepted: Towards Better Quality of Experience in HTTP Adaptive Streaming

16th International Conference on Signal Image Technology & Internet based Systems – Dijon, France – October 19-21, 2022 Conference Website Babak Taraghi (Alpen-Adria-Universität Klagenfurt, Austria), Selina Zoë Haack (Alpen-Adria-Universität Klagenfurt, Austria), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria) Abstract: HTTP Adaptive Streaming (HAS) is nowadays a popular solution for multimedia delivery. The novelty of HAS lies in […]

Hadi Amirpour to give a talk at INSA France

LiVE: Toward Better Live Video Experience INSA, France  27th September 2022 | Rennes, France   Abstract: In this presentation, we first introduce the principles of video streaming and the existing challenges. While live video streaming is expected to continue growing at an accelerated pace, one potential area for optimization that has remained relatively untapped is […]

Bringing the Carinthian gaming scene to the next level

The “Game Studies and Engineering” master’s program can be studied at the University of Klagenfurt for five years. It’s much more about technical skills, a critical understanding of the influence of games on society “as well as the courage and creativity to use this knowledge and experience in your own innovative ways for yourself and […]

, ,

Paper accepted: CADLAD: Device-aware Bitrate Ladder Construction for HTTP Adaptive Streaming

18th International Conference on Network and Service Management (CNSM 2022) Thessaloniki, Greece | 31 October – 4 November 2022 Conference Website Minh Nguyen (Alpen-Adria-Universität Klagenfurt, Austria), Babak Taraghi (Alpen-Adria-Universität Klagenfurt, Austria), Abdelhak Bentaleb (National University of Singapore, Singapore), Roger Zimmermann (National University of Singapore, Singapore), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria) Abstract: Considering network conditions, video […]

,

Video Coding Enhancements for HTTP Adaptive Streaming

ACM Multimedia Conference – Doctoral Symposium Track Lisbon, Portugal | 10-14 October 2022 Vignesh V Menon (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt) Abstract: Rapid growth in multimedia streaming traffic over the Internet motivates the research and further investigation of the video coding performance of such services in terms of speed and Quality of Experience (QoE). HTTP […]

,

Education minister´s visit @ AAU

During the visit of our minister of education (Martin Polaschek),  Hermann Hellwagner gave an overview of drone research at the AAU and the use of the drone hall. Read more about Mr. Polaschek´s visit here.

Interns at ATHENA (Summer 2022)

In July-August 2022, the ATHENA Christian Doppler Laboratory hosted four interns working on the following topics: Fabio Zinner: A Study and Evaluation on HTTP Adaptive Video Streaming using Mininet Moritz Pecher: Dataset Creation and HAS Basics Per-Luca Thalmann: Codec-war: is it necessary? Welcome to the multi-codec world Georg Kelih: Server Client Simulator for QoE with […]

,

Coordination @ Horizon Europe “Massive Graph Processing of Extreme Data for a Sustainable Economy, Society, and Environment” (Graph-Massivizer) project accepted

Project lead/coordination: Radu Prodan Project partners: IDC Italia, Peracton Limited, Institut Jozef Stefan, Sintef, Universiteit Twente, metaphacts GmbH, Vrije Universiteit Amsterdam, Cineca, Event Registry, Università di Bologna, Robert Bosch GmbH Abstract: Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. […]