Category Archives: ATHENA

The IEEE ICME Workshop on Physical Principles for Reliable 3D Modelling in Multimedia (P3DMM) July 5 to July 9, 2026, Bangkok, Thailand CFP Reliable 3D modelling is a foundational capability for many multimedia applications, yet achieving metrically accurate and physically … Continue reading →

ELLMPEG: An Edge-based Agentic LLM Video Processing Tool             The 17th ACM Multimedia System Conference (MMSys’26) Hong Kong SAR 4th – 8th April 2026 Zoha Azimi, Reza Farahani, Radu Prodan, Christian Timmerer Abstract: Large language … Continue reading →

Residual U-Network: 3D Point Cloud-Based Automotive Pressure Field Prediction Model 18th International Congress on Image and Signal Processing, BioMedical Engineering, and Informatics (CISP-BMEI 2025) October 25 – 27, 2025 Qingdao, China http://www.cisp-bmei.cn/ [PDF] Hezhi Li, Hongyou Chen, Lingfeng Qu, Baodan … Continue reading →

IEEE ICIP 2026 IEEE International Conference on Image Processing (ICIP) 2026 Special Session: Generative Visual Coding: Emerging Paradigms for Future Communication https://floatbutterfly.github.io/ICIP2026-special-session-GVC/ Generative Visual Coding (GVC) is an emerging paradigm that explores how generative models and structured visual representations can … Continue reading →

IEEE ICIP 2026 IEEE International Conference on Image Processing (ICIP) 2026 Special Session: Visual Information Processing for Human-centered Immersive Experiences https://medialab.dei.unipd.it/special-session-icip-2026/ Immersive systems such as Virtual and Extended Reality are becoming widespread thanks to the wide diffusion of relatively low-cost … Continue reading →

Video encoding complexity predictor 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 predicting video encoding complexity are described herein. A method for predicting video encoding complexity includes … Continue reading →

Klagenfurt, July 31, 2025 Congratulations to Dr. Daniele Lorenzi for successfully defending his dissertation on “QoE- and Energy-aware Content Consumption for HTTP Adaptive Streaming” at Universität Klagenfurt in the context of the Christian Doppler Laboratory ATHENA. Abstract HTTP Adaptive Streaming (HAS) … Continue reading →