DataCloud will research and develop novel methods to support the complete lifecycle of #BigData pipelines processing.Follow us to know more about #datacloud2020
On the first two days of October 2022, Sebastian Uitz and Michael Steinkellner presented their game “A Webbing Journey” at the Vienna Comic Con 2022 (VIECC 2022). The new demo level from Gamescom was incorporated into the existing demo and replaced the old first level. In addition, the art style was updated, and the new arachnophobia mode was added to help everyone enjoy our game, even those afraid of spiders. This event was the biggest Austrian event we attended yet, with over 35.000 visitors. Next to meeting some cool Austrian game devs and having many happy players, we also had an interview with the FM4 Spielekammerl about our game.
From Wednesday, 24.08.2022, until Sunday, 28.08.2022, players from all over the world played our game “A Webbing Journey” at Gamescom 2022 in Cologne. Our booth was run by Sebastian Uitz, Manuel Santner, and Fabian Schober, and we have been one of the only two Austrian games in the indie area this year. The second one is Gibbon from Broken Rules. The size of the Gamescom is just crazy compared to the Austrian events, with over 250.000 people attending this year. We prepared a new demo level for this event, and the feedback was great, as always. In addition, we made valuable connections to the games industry through other game devs, publishers, and the press.
The futurezone Awards 2022 are looking for the most innovative ideas and projects. Three finalists (each category) have now been selected from the numerous submissions.
ITEC was nominated for two projects: 5G Virtual Realities and GAIA (together with Bitmovin).
The ADAPT workshop took place in Macau, China, on 09 Oct 2022 at the IEEE ITSC conference with more than 50 international attendees! The ADAPT-Team has successfully participated!
Bitmovin, a leading provider of video streaming infrastructure, and the University of Klagenfurt announced they will collaborate on a two-year joint research project worth €3.3million to develop a climate-friendly adaptive video streaming platform called ‘GAIA’. The Austrian Research Promotion Agency (FFG) will co-fund the project, providing an initial €460,000 in funding for the first year.
Project ‘GAIA’ aims to identify ways to improve sustainability and reduce energy consumption across the end-to-end video streaming chain by
The project partners reunited at @itecmmc for a final project review. Thank you Horizon2020 @EU_Commission it has been an honour to collaborate for the Future Hyper-connected Sociality.
ARTICONF project review
@UvA_Amsterdam
@mscdigsoc
@UOhrid
@MOGTechnologies
@AgiliaCenter
@vialog_io
@bitYogaAS
@itec
18th International Conference on Network and Service Management (CNSM 2022)
Thessaloniki, Greece | 31 October – 4 November 2022
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 content, and viewer device type/screen resolution to construct a bitrate ladder is necessary to deliver the best Quality of Experience (QoE).
A large-screen device like a TV needs a high bitrate with high resolution to provide good visual quality, whereas a small one like a phone requires a low bitrate with low resolution. In
addition, encoding high-quality levels at the server side while the network is unable to deliver them causes unnecessary cost for the content provider. Recently, the Common Media Client Data (CMCD) standard has been proposed, which defines the data that is collected at the client and sent to the server with its HTTP requests. This data is useful in log analysis, quality of service/experience monitoring and delivery improvements.
In this paper, we introduce a CMCD-Aware per-Device bitrate LADder construction (CADLAD) that leverages CMCD to address the above issues. CADLAD comprises components at both client and server sides. The client calculates the top bitrate (tb) — a CMCD parameter to indicate the highest bitrate that can be rendered at the client — and sends it to the server together with its device type and screen resolution. The server decides on a suitable bitrate ladder, whose maximum bitrate and resolution are based on CMCD parameters, to the client device with the purpose of providing maximum QoE while minimizing delivered data. CADLAD has two versions to work in Video on
Demand (VoD) and live streaming scenarios. Our CADLAD is client agnostic; hence, it can work with any players and ABR algorithms at the client. The experimental results show that CADLAD is able to increase the QoE by 2.6x while saving 71% of delivered data, compared to an existing bitrate ladder of an available video dataset. We implement our idea within CAdViSE — an open-source testbed for reproducibility.
From August 16.-19.2022, a CardioHPC project meeting took place in Skopje, Macedonia. Radu Prodan, Andrei Amza and Sahsko Ristvo participated for AAU.
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 Adaptive Streaming (HAS) is today’s de-facto standard to deliver clients the highest possible video quality. In HAS, the same video content is encoded at multiple bitrates, resolutions, framerates, and coding formats called representations. This study aims to (i) provide fast and compression-efficient multi-bitrate, multi-resolution representations, (ii) provide fast and compression-efficient multi-codec representations, (iii) improve the encoding efficiency of Video on Demand (VoD) streaming using content-adaptive encoding optimizations, and (iv) provide encoding schemes with optimizations per-title for live streaming applications to decrease the storage or delivery costs or/and increase QoE.
The ideal video compression system for HAS envisioned in this doctoral study.