Entries by Rudolf Messner

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Patent approval for “Fast multi-rate encoding for adaptive HTTP streaming”

Title: Fast multi-rate encoding for adaptive HTTP streaming Authors: Hadi Amirpour (Alpen-Adria-Universität Klagenfurt, Austria), Ekrem Çetynkaya (Alpen-Adria-Universität Klagenfurt, Austria), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria) Abstract: According to embodiments of the disclosure, information of higher and lower quality encoded video segments is used to limit Rate-Distortion Optimization (RDO) for each Coding Unit Tree (CTU). A method first encodes the […]

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Paper accepted: Proactive SLA-aware Application Placement in the Computing Continuum in 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS)

37th IEEE International Parallel & Distributed Processing Symposium (IPDPS) May 15-19, 2023, Florida USA Authors: Zahra Najafabadi Samani (Alpen-Adria-Universität Klagenfurt, Austria), Narges Mehran (Alpen-Adria-Universität Klagenfurt, Austria), Dragi Kimovski (Alpen-Adria-Universität Klagenfurt, Austria), Radu Prodan (Alpen-Adria-Universität Klagenfurt, Austria) Abstract: The accelerating growth of modern distributed applications with low delivery deadlines leads to a paradigm shift towards the multi-tier computing continuum. However, the geographical […]

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Magazine article published: DataCloud: Resource provisioning, scheduling and deployment of big-data pipelines

HiPEAC magazine https://www.hipeac.net/news/#/magazine/ HiPEACINFO 68, pages 27-28. Autohrs: Dragi Kimovski (Alpen-Adria-Universität Klagenfurt, Austria), Narges Mehran (Alpen-Adria-Universität Klagenfurt, Austria), Radu Prodan (Alpen-Adria-Universität Klagenfurt, Austria), Souvik Sengupta (iExec Blockchain Tech, France), Anthony Simonet-Boulgone (iExec Blockchain Tech, France), Ioannis Plakas (UBITECH, Greece) , Giannis Ledakis (UBITECH, Greece) and Dumitru Roman (University of Oslo and SINTEF AS, Norway) Abstract: […]

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Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines

Journal: Sensors Authors: Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin,Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler, Ahmet Soylu Abstract: Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., […]

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Special Session on “Optimal Media Delivery” at ICME’23

ICME`23 July, 2023, Brisbane, Australia Organizers: Hadi Amirpour, University of Klagenfurt Angeliki Katsenou, Trinity College Dublin, IE and University of Bristol, UK Abstracts Video streaming in the context of HTTP Adaptive Streaming (HAS) is replacing legacy media platforms and its market share is growing rapidly due to its simplicity, reliability, and standard support (e.g., MPEG-DASH). […]

IEEE TCSVT: DeepStream: Video Streaming Enhancements using Compressed Deep Neural Networks

Authors: Hadi Amirpour (Alpen-Adria-Universität Klagenfurt, Austria), Mohammad Ghanbari (University of Essex, UK), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria) Journal Website Abstract: In HTTP Adaptive Streaming (HAS), each video is divided into smaller segments, and each segment is encoded at multiple pre-defined bitrates to construct a bitrate ladder. To optimize bitrate ladders, per-title encoding approaches encode each segment […]