Entries by Verena Stranner

MMM 2026 Demo: STEP-MR: A Subjective Testing and Eye-Tracking Platform for Dynamic Point Clouds in Mixed Reality

Paper Title: STEP-MR: A Subjective Testing and Eye-Tracking Platform for Dynamic Point Clouds in Mixed Reality Conference Details:  32nd International Conference on Multimedia Modeling; Jan 29 – Jan 31, 2026; Prague, Czech Republic Authors: Shivi Vats (AAU, Austria), Christian Timmerer (AAU, Austria), Hermann Hellwagner (AAU, Austria) Abstract:  The use of point cloud (PC) streaming in mixed reality (MR) environments […]

IEEE Access 2025: Eye-Tracking, Quality Assessment, and QoE Prediction Models for Point Cloud Videos: Extended Analysis of the ComPEQ-MR Datase

Paper Title: Eye-Tracking, Quality Assessment, and QoE Prediction Models for Point Cloud Videos: Extended Analysis of the ComPEQ-MR Dataset Link: https://ieeexplore.ieee.org/document/11263821   Authors: Shivi Vats (AAU, Austria), Minh Nguyen (Fraunhofer FOKUS, Berlin), Christian Timmerer (AAU, Austria), Hermann Hellwagner (AAU, Austria) Abstract:  Point cloud videos, also termed dynamic point clouds (DPCs), have the potential to provide immersive experiences with six […]

Paper Accepted @ ScaleSys 2025

Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming Authors: Zoha Azimi (AAU, Austria), Reza Farahani (AAU, Austria), Vignesh V Menon (Fraunhofer HHI, Berlin), Christian Timmerer (AAU, Austria) Event: 1st International Workshop on Intelligent and Scalable Systems Across the Computing Continuum (ScaleSys ’25), November 18, 2025, Vienna, Austria, https://scalesys2025.itec.aau.at/ Abstract:   Video streaming now represents the dominant share of Internet traffic, […]

Paper Accepted: Data-Efficient Learning for Generalizable Surgical Video Understanding Author: Sahar Nasirihaghighi

Title: Data-Efficient Learning for Generalizable Surgical Video Understanding Author: Sahar Nasirihaghighi Venue: Doctoral Consortium MICCAI 2025, 23 – 27 September 2025, Daejeon, South Korea Abstract: Advances in surgical video analysis are transforming operating rooms into intelligent, data-driven environments. Computer-assisted systems now support the full surgical workflow, from preoperative planning to intraoperative guidance and postoperative assessment. However, developing robust and […]

Paper Accepted: GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset

Title: GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset Authors: Sahar Nasirihaghighi, Negin Ghamsarian, Leonie Peschek, Matteo Munari, Heinrich Husslein, Raphael Sznitman, Klaus Schoeffmann Venue: ACM Multimedia 2025, 27 – 31 October 2025, Dublin, Ireland Abstract: Recent advances in deep learning have transformed computer-assisted intervention and surgical video analysis, driving improvements not only in surgical training, intraoperative decision support, and patient outcomes, but also in postoperative documentation […]

ScaleSys Workshop @ IoT 2025

1st Edition of the ScaleSys Workshop, International Workshop on Intelligent and Scalable Systems across the Computing Continuum @ The 15th International Conference on the Internet of Things ⭐ Keynotes: Atakan Aral (University of Veinna), Scaling Brain-Inspired Edge Computing Lauri Lovén (University of Oulu), Agentic Edge Intelligence: Past, Present and Future  

News @ Games

On November 14, Dr Felix Schniz held a workshop for Master Students wishing to pursue an academic career related to game studies and game engineering. Invited by ÖH representatives, he focused on the first conference presentation, including topics such as abstract writing, conference etiquette, and publishing a conference paper.

Paper accepted @ UCC

Title: Agentic Edge Intelligence: A Research Agenda Authors: Lauri Lovén, Reza Farahani, Ilir Murturi, Stephan Sigg, Schahram Dustdar Abstract: Agentic AI is rapidly transforming autonomous decision-making, yet its deployment across the edge-cloud continuum remains poorly understood. This paper introduces the concept of agentic edge intelligence, an emerging paradigm in which autonomous agents operate across the computing […]

Paper accepted @ IoT 2025

Title: Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud Authors: Mario Colosi, Reza Farahani, Lauri Lovén, Radu Prodan, Massimo Villari Abstract: WebAssembly (Wasm) is a binary instruction format that enables portable, sandboxed, and near-native execution across heterogeneous platforms, making it well-suited for serverless workflow execution on browsers, edge nodes, and […]

Paper accepted @ IoT 2025

Title: Toward Sustainability-Aware LLM Inference on Edge Clusters Authors: Kolichala Rajashekar, Nafiseh Sharghivand, Radu Prodan, Reza Farahani Abstract: Large language models (LLMs) require substantial computational resources, leading to significant carbon emissions and operational costs. Although training is energy-intensive, the long-term environmental burden arises from inference, amplified by the massive global query volume. Cloud-based inference offers […]