Entries by Margit Letter

Organisation of The 8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025)

The 8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025) will be held on May 5 or 6, 2025, in Toronto, Canada, in conjunction with the International Conference on Performance Engineering (ICPE). This workshop serves as a venue for academics and practitioners to discuss performance-related aspects of cloud computing across the computational continuum, […]

Organisation of The Third International Workshop on Intelligent and Adaptive Edge-Cloud Operations and Services (Intel4EC 2025)

The Third International Workshop on Intelligent and Adaptive Edge-Cloud Operations and Services (Intel4EC 2025) is scheduled for June 4, 2025, in Milan, Italy, as part of the 39th IEEE International Parallel and Distributed Processing Symposium (IPDPS). This workshop aims to bring together researchers, developers, and practitioners from academia and industry to present their experiences and […]

,

Paper accepted at ACM TOMM: Counterfeiting Attacks on a RDH-EI scheme based on block-permutation and Co-XOR

Authors: Fan Chen (Southwest Jiaotong University, China),  Lingfeng Qu (Guangzhou University, China), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), and Hongjie He (Southwest Jiaotong University, China) Journal: ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM) Abstract: Reversible data hiding in encrypted images (RDH-EI) has gained widespread attention due to its potential applications in […]

,

Patent approval for: Perceptually-aware Online Per-title Encoding for Live Video Streaming

Perceptually-aware Online Per-title Encoding for Live Video Streaming – US Patent PDF Vignesh Menon (Alpen-Adria-Universität Klagenfurt, Austria), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt, Austria), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria) Abstract: Techniques for implementing perceptually aware per-title encoding may include receiving an input video, a set of resolutions, a maximum target bitrate and a minimum target bitrate, extracting content […]

,

Accepted tutorial: Video Coding Advancements in HTTP Adaptive Streaming

Tutorial title: Video Coding Advancements in HTTP Adaptive Streaming Venue: IEEE International Conference on Multimedia & Expo (ICME) 2025 (https://2025.ieeeicme.org/tutorials/) We are happy to announce that our tutorial “Video Coding Advancements in HTTP Adaptive Streaming” (by Hadi Amirpourazarian and Christian Timmerer) has been accepted for IEEE ICME 2025, which will take place in Nantes, France, […]

,

SPIRIT (EU project) has successfully completed its periodic review!

Title: Project “Scalable Platform for Innovations on Real-time Immersive Telepresence” (SPIRIT) successfully passed periodic review The “Scalable Platform for Innovations on Real-time Immersive Telepresence” (SPIRIT) project, a Horizon Europe innovation initiative uniting seven consortium partners, including ITEC from the University of Klagenfurt, has successfully completed its periodic review that took place in November 2024. SPIRIT […]

,

Accepted tutorial: Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions

Tutorial title: Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions Venue: 16th ACM/SPEC International Conference on Performance Engineering (ICPE) (https://icpe2025.spec.org/) We are happy to announce that our tutorial “Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions” (by Reza Farahani and Radu Prodan) has been accepted for ACM/SPEC ICPE 2025, which will take place in […]

Paper accepted: Dual Invariance Self-Training for Reliable Semi-Supervised Surgical Phase Recognition

Authors: Sahar Nasirihaghighi, Negin Ghamsarian, Raphael Sznitman, Klaus Schoeffmann Event: International Symposium on Biomedical Imaging (ISBI), April 14-17, 2025 Abstract: Accurate surgical phase recognition is crucial for advancing computer-assisted interventions, yet the scarcity of labeled data hinders training reliable deep learning models. Semi-supervised learning (SSL), particularly with pseudo-labeling, shows promise over fully supervised methods but […]