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

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

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ARTICONF: kick-off meeting at Klagenfurt

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.

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FWF Research Project SQUASH Approved

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.

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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

Please find the full AAU news blog article here.

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

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

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OVID – Relevanzerkennung in Augenoperationsvideos

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

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.

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New H2020 FET-HPC project ASPIDE

Prof. Radu Prodan acquired a new H2020 FET-HPC project called ASPIDE: exAScale ProgramIng models for extreme Data procEssing. The ASPIDE project will contribute with the definition of a new programming paradigms, APIs, runtime tools and methodologies for expressing data-intensive tasks on Exascale systems, which can pave the way for the exploitation of massive parallelism over a simplified model of the system architecture, promoting high performance and efficiency, and offering powerful operations and mechanisms for processing extreme data sources at high speed and/or real-time.

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Transfer of the Tiroler Cloud project

Prof. Radu Prodan together with the help of Prof. Hermann Hellwagner obtained aproval for transfering the FFG Bridge-1 project Tiroler Cloud “A federated energy‐aware Cloud for industrial, business, and scientific applications” from the University of Innsbruck to the University of Klagenfurt. It is for the first time in its history that FFG approved changing the coordinator of an FFG Bridge-1 project.