Entries by Rudolf Messner

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Paper accepted MMM’21: Towards Optimal Multirate Encoding for HTTP Adaptive Streaming

Authors: Hadi Amirpour (Alpen-Adria-Universität Klagenfurt),Ekrem Çetinkaya (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Bitmovin), and Mohammad Ghanbari (School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK) Abstract: HTTP Adaptive Streaming (HAS) enables high quality stream-ing of video contents. In HAS, videos are divided into short intervalscalled segments, and each segment is encoded at various […]

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Grand Challenge Keynote on “Deep Video Understanding and the User” at ACMMM2020

Today, Klaus Schöffmann will present his keynote talk on “Deep Video Understanding and the User” at the ACM Multimedia 2020 Grand Challenge (GC) on “Deep Video Understanding”. The talk will highlight user aspects of automatic video content search, based on deep neural networks, and show several examples where users have serious issues in finding the […]

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ICPR 2020: Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization

Authors: Negin Ghamsarian (Alpen-Adria-Universität Klagenfurt), Mario Taschwer (Alpen-Adria-Universität Klagenfurt), Doris Putzgruber-Adamitsch (Klinikum Klagenfurt), Stephanie Sarny (Klinikum Klagenfurt), Klaus Schoeffmann (Alpen-Adria-Universität Klagenfurt) Abstract: In cataract surgery, the operation is performed with the help of a microscope. Since the microscope enables watching real-time surgery by up to two people only, a major part of surgical training is conducted […]

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

Authors: Jesús Aguilar Armijo (Alpen-Adria-Universität Klagenfurt), Babak Taraghi (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Bitmovin), and Hermann Hellwagner (Alpen-Adria-Universität Klagenfurt) Abstract: Adaptive video streaming systems typically support different media delivery formats, e.g., MPEG-DASH and HLS, replicating the same content multiple times into the network. Such a diversified system results in inefficient use of storage, caching, and […]

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H2020 project “DataCloud: Enabling the Big Data Pipeline Lifecycle on the Computing Continuum” accepted with excellent score 15 (out of 15)

DataCloud provides a novel paradigm covering the complete lifecycle of managing Big Data pipelines through discovery, design, simulation, provisioning, deployment, and adaptation across the Computing Continuum. Big Data pipelines in DataCloud interconnect the end-to-end industrial operations of collecting preprocessing and filtering data, transforming and delivering insights, training simulation models, and applying them in the cloud […]

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Bitmovin received the 2nd prize of the 2020 Houska Award for the PROMETHEUS project

September 24, 2020.  Bitmovin received 2nd prize of the 2020 Houska Award for the PROMETHEUS project, a joint project with the Alpen-Adria-Universität Klagenfurt funded in part by the Austrian Research Promotion Agency (FFG) in the “Basisprogramm”. The Houska Award is Austria’s biggest private award for application-oriented research and comprises two categories: (i) academic research; (ii) […]

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IEEE Communication Magazine: 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 first time in cinematic history that the concept of holographic-type communication was illustrated. Almost five decades later, technological advancements are quickly moving this type of communication from […]

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Paper accepted: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods

Authors: Prateek Agrawal (University of Klagenfurt, Austria), Deepak Chaudhary (Lovely Professional University, India), Vishu Madaan (Lovely professional University, India), Anatoliy Zabrovskiy (University of Klagenfurt, Austria), Radu Prodan (University of Klagenfurt, Austria), Dragi Kimovski (University of Klagenfurt, Austria), Christian Timmerer (University of Klagenfurt, Austria) Abstract: Automated bank cheque verification using image processing is an attempt to […]

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Paper accepted VCIP’20: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning

Authors: Ekrem Çetinkaya (Alpen-Adria-Universität Klagenfurt), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Bitmovin), and Mohammad Ghanbari (School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK) Abstract: HTTP Adaptive Streaming (HAS) is the most common approach for delivering video content over the Internet. The requirement to encode the same content at different quality […]