Based on the 2023 TPDS editorial data and his excellent performance, Radu Prodan received the 2024 IEEE TPDS Award for Editorial Excellence. His achievement will be recognized by IEEE and his name will appear at the IEEE award website https://next-test.computer.org/digital-library/journals/td/tpds-award-for-editorial-excellence. Congratulations!
Authors: Sandro Linder (AAU, Austria), Samira Afzal (AAU, Austria), Christian Bauer (AAU, Austria), Hadi Amirpour (AAU, Austria), Radu Prodan (AAU, Austria), and Christian Timmerer (AAU, Austria) Venue: The 15th ACM Multimedia Systems Conference (Open-source Software and Datasets) Abstract: Video streaming constitutes 65 % of global internet traffic, prompting an investigation into its energy consumption and CO2 emissions. Video […]
Authors: Christian Bauer (AAU, Austria), Samira Afzal (AAU, Austria), Sandro Linder (AAU, Austria), Radu Prodan (AAU,Austria), and Christian Timmerer (AAU, Austria) Venue: The 15th ACM Multimedia Systems Conference (Open-source Software and Datasets) Abstract: Addressing climate change requires a global decrease in greenhouse gas (GHG) emissions. In today’s digital landscape, video streaming significantly influences internet traffic, driven by the widespread use […]
Authors: Seyedehhaleh Seyeddizaji, Joze Martin Rozanec, Reza Farahani, Dumitru Roman and Radu Prodan Venue: The 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems Co-located with ICPE 2024 Abstract: While graph sampling is key to scalable processing, little research has tried to thoroughly compare and understand how it preserves features such as degree, clustering, and […]
Title: Cloud Storage Tier Optimization through Storage Object Classification Authors: Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu Abstract: Cloud storage adoption has increased over the years given the high demand for fast processing, low access latency, and ever-increasing amount of data being generated by, e.g., Internet of Things (IoT) […]
The diveXplore video retrieval system, by Klaus Schoeffmann and Sahar Nasirihaghighi, was awarded as the best ‘Video Question-Answering-Tool for Novices’ at the 13th Video Browser Showdown (VBS 2024), which is an international video search challenge annually held at the International Conference on Multimedia Modeling (MMM 2024), which took place this year in Amsterdam, The Netherlands. […]
The 13th Video Browser Showdown (VBS 2024) was held on 29th January, 2024, in Amsterdam, The Netherlands, at the International Conference on Multimedia Modeling (MMM 2024). 12 international teams (from Austria, China, Czech Republic, Germany, Greece, Iceland, Ireland, Italy, Singapore, Switzerland, The Netherlands, Vietnam) competed over about 6 hours for quickly and accurately solving many […]
On February 1st, 2024, Sahar Nasirihaghighi presented our work on ‘Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers’ at this year’s International Conference on Multimedia Modeling (MMM 2024) in Amsterdam, The Netherlands. Authors: Sahar Nasirihaghighi, Negin Ghamsarian, Heinrich Husslein, Klaus Schoeffmann Abstract: Analyzing laparoscopic surgery videos presents a complex and multifaceted challenge, with applications […]
ACM MMSys 2024, Bari, Italy, Apr. 15-18, 2024 Authors: Emanuele Artioli (Alpen-Adria-Universität Klagenfurt, Austria), Farzad Tashtarian (Alpen-Adria-Universität Klagenfurt, Austria), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria) Abstract: As the popularity of video streaming entertainment continues to grow, understanding how users engage with the content and react to its changes becomes a critical success factor for every stakeholder. […]
ACM Mile High Video 2024 (mhv), Denver, Colorado, February 11-14, 2024 Authors: Vignesh V Menon, Prajit T Rajendran, Reza Farahani, Klaus Schoffmann, Christian Timmerer Abstract: The rise in video streaming applications has increased the demand for video quality assessment (VQA). In 2016, Netflix introduced Video Multi-Method Assessment Fusion (VMAF), a full reference VQA metric that […]