ARTICONF’s Next Generation Internet Initiatives Representation at EU ICT Proposers Day in Helsinki

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Christian Timmerer

Christian Timmerer is TPC co-chair of ACM MMSys 2020

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The ACM Multimedia Systems Conference (MMSys) is held June 8-11, 2020 in Istanbul, Turkey and provides a forum for researchers to present and share their latest research findings in multimedia systems. While research about specific aspects of multimedia systems are regularly published in the various proceedings and transactions of the networking, operating systems, real-time systems, databases, mobile computing, distributed systems, computer vision, and middleware communities, MMSys aims to cut across these domains in the context of multimedia data types. This provides a unique opportunity to investigate the intersections and the interplay of the various approaches and solutions developed across these domains to deal with multimedia data types.

General Chairs
— Ali C. Begen (Ozyegin University and Networked Media, Turkey)
— Laura Toni (University College London, UK)

TPC Chairs
— Özgü Alay (Simula Metropolitan and University of Oslo, Norway)
— Christian Timmerer (Alpen-Adria-Universität Klagenfurt and Bitmovin, Austria)

Link: ACM MMSYS 2020

ACMMM’19-Demo-Paper: Docker-Based Evaluation Framework for Video Streaming QoE in Broadband Networks

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Abstract: Video streaming is one of the top traffic contributors in the Internet and a frequent research subject. It is expected that streaming traffic will grow 4-fold for video globally and 9-fold for mobile video between 2017 and 2022. In this paper, we present an automatized measurement framework for evaluating video streaming QoE in operational broadband networks, using headless streaming with a Docker-based client, and a server-side implementation allowing for the use of multiple video players and adaptation algorithms. Our framework allows for integration with the MONROE testbed and Bitmovin Analytics, which bring on the possibility to conduct large-scale measurements in different networks, including mobility scenarios, and monitor different parameters in the application, transport, network, and physical layers in real-time.

Authors: Cise Midoglu (Simula), Anatoliy Zabrovskiy (AAU), Özgü Alay (Simula), Daniel Hölbling-Inzko (Bitmovin), Carsten Griwodz (Univ. of Oslo), Christian Timmerer (AAU/Bitmovin)

Keywords: adaptive streaming, network measurements, OTT video analytics, QoE

Link: ACMMM 2019

Christian Timmerer

ACMMM’19: Towards 6DoF HTTP Adaptive Streaming Through Point Cloud Compression

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Abstract: The increasing popularity of head-mounted devices and 360° video cameras allows content providers to offer virtual reality video streaming over the Internet, using a relevant representation of the immersive content combined with traditional streaming techniques. While this approach allows the user to freely move her head, her location is fixed by the camera’s position within the scene. Recently, an increased interest has been shown for free movement within immersive scenes, referred to as six degrees of freedom. One way to realize this is by capturing objects through a number of cameras positioned in different angles, and creating a point cloud which consists of the location and RGB color of a significant number of points in the three-dimensional space. Although the concept of point clouds has been around for over two decades, it recently received increased attention by ISO/IEC MPEG, issuing a call for proposals for point cloud compression. As a result, dynamic point cloud objects can now be compressed to bit rates in the order of 3 to 55 Mb/s, allowing feasible delivery over today’s mobile networks. In this paper, we propose PCC-DASH, a standards-compliant means for HTTP adaptive streaming of scenes comprising multiple, dynamic point cloud objects. We present a number of rate adaptation heuristics which use information on the user’s position and focus, the available bandwidth, and the client’s buffer status to decide upon the most appropriate quality representation of each object. Through an extensive evaluation, we discuss the advantages and drawbacks of each solution. We argue that the optimal solution depends on the considered scene and camera path, which opens interesting possibilities for future work.

Authors: Jeroen van der Hooft, Tim Wauters, Filip De Turck (Ghent University – imec), Christian Timmerer, and Hermann Hellwagner (Alpen-Adria-Universität Klagenfurt)

Keywords: HTTP adaptive streaming, MPEG-DASH, immersive video, point clouds, MPEG V-PCC, rate adaptation

Link: ACMMM 2019

Philipp Moll

Philipp Moll presented his work “Towards an NDN-based Online Gaming Architecture” as demo on the NDN Community Meeting held at the National Institute of Standards and Technology (NIST)

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In the course of his research stay at UCLA, Philipp Moll attended the NDN Community Meeting 2019 and presented his work “Towards an NDN-based Online Gaming Architecture”.

Abstract: The popularity of online games increased steadily during the last decades and nowadays games play an important role in the entertainment industry. Although the rising popularity of online games goes hand in hand with increased complexity of technical challenges, the networking stack of online games is built on decades-old technologies, which were never intended to be used in games, and is often responsible for crashing game servers during peak hours. Replacing the currently used connection-oriented networking approach by a content-centric architecture could yield advantages reaching beyond avoiding inefficiencies found in IP-based online games. We propose an NDN-based system for Massive Multiplayer Online Role-Playing Games (MMORPGs) which tackles issues found in IP-based systems.

Authors: Philipp Moll, Sebastian Theuermann, Hermann Hellwagner (Klagenfurt University), Jeff Burke (UCLA)

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ARTICONF: Strengthening the motivation towards Democratic Social Media Platforms

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Trust, privacy, control and what else ! Lets hear to ARTICONF consortium as what transpires them to build Next Generation Social Media Ecosystem with novel set of trustworthy, resilient, globally sustainable and decentralized data-driven services.