• HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey 

      Husa, Andreas; Midoglu, Cise; Hammou, Malek; Halvorsen, Pål; Riegler, Michael (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      We present HOST-ATS, a holistic system for the automatic selection and evaluation of soccer video thumbnails, which is composed of a dashboard-controlled machine learning (ML) pipeline, and a dynamic user survey. The ML ...
    • Huldra: a framework for collecting crowdsourced feedback on multimedia assets 

      Hammou, Malek; Midoglu, Cise; Hicks, Steven; Storås, Andrea; Sabet, Saeed; Strumke, Inga; Riegler, Michael; Halvorsen, Pål (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      Collecting crowdsourced feedback to evaluate, rank, or score multimedia content can be cumbersome and time-consuming. Most of the existing survey tools are complicated, hard to customize, or tailored for a specific asset ...
    • Multimedia streaming analytics: quo vadis? 

      Midoglu, Cise; Avelino, Mariana; Gopalakrishnan, Shri Hari; Pham, Stefan; Halvorsen, Pål (MHV: Mile-High Video;MHV '22: Proceedings of the 1st Mile-High Video Conference, Conference object, 2022)
      In today’s complex OTT multimedia streaming ecosystem, the task of ensuring the best streaming experience to end-users requires extensive monitoring, and such monitoring information is relevant to various stakeholders ...
    • Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming 

      Midoglu, Cise; Klausen, Magnus; Alay Erduran, Özgü; Yazidi, Anis; Haugerud, Hårek; Griwodz, Carsten (S3: Wireless of the Students, by the Students, for the Students;S3'19: Proceedings of the 2019 on Wireless of the Students, by the Students, and for the Students Workshop, Conference object, 2019-10)
      We propose a QoE-based analysis approach for real-time adaptive 360-degree video streaming measurements, focusing on the correlation between objective video metrics and subjective end-user scores.
    • Smittestopp Backend 

      Midoglu, Cise; Ragan-Kelley, Benjamin; Reinemo, Sven- Arne; Jahren, Jon; Halvorsen, Pål (Simula SpringerBriefs on Computing;Volume 11, Chapter; Peer reviewed; Journal article, 2022-06-18)
      An efficient backend solution is of great importance for any large-scale system, and Smittestopp is no exception. The Smittestopp backend comprises various components for user and device registration, mobile app data ...
    • Soccer Game Summarization using Audio Commentary, Metadata, and Captions 

      Gautam, Sushant; Midoglu, Cise; Sabet, Saeed; Kshatri, Dinesh Baniya; Halvorsen, Pål (MM: International Multimedia Conference;MM '22: The 30th ACM International Conference on Multimedia, Conference object, 2022)
      Soccer is one of the most popular sports globally, and the amount of soccer-related content worldwide, including video footage, audio commentary, team/player statistics, scores, and rankings, is enormous and rapidly growing. ...
    • Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations 

      Hicks, Steven; Storås, Andrea; Riegler, Michael; Midoglu, Cise; Hammou, Malek; Lange, Thomas de; Parasa, Sravanthi; Halvorsen, Pål; Strumke, Inga (Peer reviewed; Journal article, 2024)
      Deep learning has achieved immense success in computer vision and has the potential to help physicians analyze visual content for disease and other abnormalities. However, the current state of deep learning is very much a ...