Articonf⁩ team attending ⁦@MediaFutureEU⁩ in Brussels and presenting the project to other social media initiatives.

Post-Doctoral Research Position (100% Employment)

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The Institute of Information Technology at the Alpen-Adria-Universität Klagenfurt invites applications for Post-Doctoral Research Positions (100% employment) within the Christian Doppler (CD) Pilot Laboratory ATHENA “Adaptive Streaming over HTTP and Emerging Networked Multimedia Services” ATHENA-JobApplication PostDoc

Doctoral (PhD) Position (100% employment)

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The Institute of Information Technology at the Alpen-Adria-Universität Klagenfurt invites applications for Doctoral Student Positions (100% employment) within the Christian Doppler (CD) Pilot Laboratory ATHENA “Adaptive Streaming over HTTP and Emerging Networked Multimedia Services” ATHENA-JobApplication

8th Video Browser Showdown (VBS) at MMM2019 in Thessaloniki

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Last week, Klaus Schoeffmann co-organized the 8th Video Browser Showdown (VBS) at MMM2019 in Thessaloniki, and it was a great success. For the first time they used the V3C1 dataset (Part 1 of the Vimeo Creative Commons Collection), which consists of 7475 video files that amount for about 1000 hours of content. The six participating teams (including an ITEC team with Andreas Leibetseder) could solve all visual and textual Known-Item Search (KIS) tasks, as well as all Ad-Hoc Video Search (AVS) tasks within a short amount of time! The teams have clearly demonstrated that their sophisticated video retrieval systems are very powerful and allow fast and effective content-based search in videos. They look forward to the next VBS in January 2020 in Daejeon, Korea at MMM2020! More information here: www.VideoBrowserShowdown.org

ARTICONF: kick-off meeting at Klagenfurt

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Prof. Radu Prodan coordinated EU H2020 Horizon project – ARTICONF (smART socIal media eCOsystem in a blockchaiN Federated environment) held its first kick-off meeting at Klagenfurt from January 8th – 10th 2019. The ARTICONF team comprising of international partners from Austria, Netherlands, UK, Macedonia, Portugal, Spain, and Norway pledged support to create a novel decentralized and trusted social media ecosystem.  The international team with diverse expertise ranging from blockchain to digital sociology discussed the road map of the project over three years stipulated period and outlined innovative ways of contribution to European Union’s grand vision of Next Generation Internet (NGI) goals.

FWF Research Project SQUASH Approved

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A new ITEC research project on Surgical Quality Assessment in Gynecologic Laparoscopy (SQUASH) – in collaboration with the Medical University of Vienna – has been approved by the FWF Austrian Science Fund. In this research project the team around Klaus Schöffmann will investigate how to improve the efficiency and feasibility of technical skill assessment by automatic video content analysis, i.e, by content-based video retrieval and current methods of machine learning/deep learning.

More information is available here.

Prof. Radu Prodan (Principal Investigator, ARTICONF, European Union’s Horizon 2020 research and innovation H2020-ICT-2018-2) sharing insights about next generation social media

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Please find the full AAU news blog article here.

Prof. Radu Prodan and Dr. Dragi Kimovski participate in the kickoff meeting of ASPIDE

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The H2020 FET-HPC project ASPIDE started with the Kickoff meeting at the University Carlos III in Madrid.

Follow our progress on Twitter and LinkedIn.

Aspide group picture

OVID – Relevanzerkennung in Augenoperationsvideos

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OVID Relevance Detection in Ophthalmic Surgery Videos
Projektpartner Klinikum Klagenfurt (KABEG)
Ressourcen 3 Doktoranden für 3 Jahre, 1 Studienassistenten für 1,25 Jahre

Informatiker und Mediziner arbeiten in einem fachübergreifenden Forschungsprojekt mit Informatikschwerpunkt zusammen, in dem Methoden zur automatischen Erkennung von relevanten zeitlichen Segmenten in Augenoperationsvideos entwickelt und evaluiert werden sollen. Hauptziel ist dabei die Modellierung von Relevanz hinsichtlich der Verwendung von Videosegmenten für medizinische Lehre, Forschung und Dokumentation. Relevanzmodelle werden durch maschinelle Lernverfahren automatisch gelernt, wobei von Chirurgen annotierte Operationsvideos als Trainingsdaten dienen. Read more

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Final review of the ENTICE project

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Prof. Radu Prodan and Dr. Dragi Kimovski participated at the final review of the H2020 project “ENTICE: Decentralised Repositories for Transparent and Efficient Virtual Machine Operations”, coordinated by their previous affiation, the University of Innsbruck.